A trusted cryptocurrency scheme for secure and verifiable digital transactions

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a trusted cryptocurrency scheme for secure and verifiable digital transactions

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De acuerdo con esta realización, el motor de software sirve los datos sensibles solicitados después de que el motor de software recibe una señal que indica autenticación de usuario positiva desde el motor de confianza Similar a la realización del motor de software, el sistema de terceros puede servir ventajosamente los datos sensibles solicitados después de que el sistema a trusted cryptocurrency scheme for secure and verifiable digital transactions terceros recibe una señal click the following article indica autenticación de usuario positiva desde el motor de confianza Un motor de software del lado del usuario puede servir ventajosamente los datos anteriores después de recibir una señal que indica autenticación de usuario positiva desde el motor de confianza Por ejemplo, una bóveda de datos particular puede incluir aspectos de algunas o todas las realizaciones anteriores.

La Figura 11 ilustra un flujo de datos de un proceso de firma de acuerdo con aspectos a trusted cryptocurrency scheme for secure and verifiable digital transactions una realización de la invención. Como se muestra en la Figura 11, el proceso de firma incluye etapas similares a aquellas del proceso de autenticación descrito en lo anterior con referencia a la Figura De acuerdo con otra realización, el proceso de firma puede almacenar ventajosamente datos relacionados con el mismo, tales como troceos de mensajes o documentos, o similares.

Estos datos pueden usarse ventajosamente en una auditoria o cualquier otro evento, tal como por ejemplo, cuando una parte participante intenta rechazar una transacción.

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Como se muestra en la Figura 11, durante las etapas de autenticación, el usuario y distribuidor pueden ventajosamente ponerse de acuerdo en un mensaje, tal como, por ejemplo, un contrato. Durante la firma, el proceso de firma asegura ventajosamente que el contrato firmado por el usuario es idéntico al contrato suministrado por el distribuidor.

a trusted cryptocurrency scheme for secure and verifiable digital transactions

Por lo a trusted cryptocurrency scheme for secure and verifiable digital transactions, de acuerdo con una realización, durante la autenticación, el distribuidor y el usuario incluyen un troceo de sus respectivas copias del mensaje o contrato, en los datos transmitidos al motor de autenticación La capacidad para determinar que el documento es idéntico a uno relacionado con una transacción proporciona prueba adicional de que puede usarse frente a una repudiación por una parte a una transacción.

En la etapael motor de autenticación ensambla los datos de autenticación de inscripción y los compara a los datos de autenticación actuales proporcionados por el usuario.

Revista de la Facultad de Ciencias

Cuando el comparador del motor de autenticación indica que los datos de autenticación de inscripción coinciden con los datos de autenticación actuales, el comparador del motor de autenticación compara también el troceo del mensaje suministrado por el distribuidor al troceo del mensaje suministrado por el usuario. Por tanto, el motor de autenticación asegura ventajosamente que el mensaje acordado para y por el usuario es idéntico al acordado para y por el distribuidor.

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De acuerdo con una realización de la invención, la solicitud incluye un troceo del mensaje o contrato. Volviendo a la etapala solicitud de firma digital comprende preferentemente un documento XML comunicado a través go here tecnologías de SSL convencionales. De acuerdo con una realización, la parte firmante incluye uno o ambos del usuario y a trusted cryptocurrency scheme for secure and verifiable digital transactions distribuidor.

De acuerdo con otra realización, la parte firmante incluye el motor de confianza De acuerdo con otra realización, el motor de confianza realiza una función similar a un notario digital. En esta realización, la parte firmante incluye el usuario, distribuidor, o ambos, junto con el motor de confianza De acuerdo con otra realización, el motor de confianza realiza funciones similares a un poder legal.

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Por ejemplo, el motor de confianza puede firmar digitalmente el mensaje en nombre de un tercero. De acuerdo con esta realización, el proceso de firma puede incluir ventajosamente autenticación del tercero, antes de permitir funciones similares a un poder legal. De acuerdo con una realización, las transmisiones anteriores incluyen tecnologías de SSL.

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En la etapael motor de autenticación transmite la solicitud de autenticación rellenada junto con una copia del mensaje troceado y la firma o firmas digitales al motor de transacción En la etapael motor de transacción transmite una recepción que comprende a trusted cryptocurrency scheme for secure and verifiable digital transactions ID de transacción, una indicación de si la autenticación fue satisfactoria, y la firma o firmas digitales, more info distribuidor.

De acuerdo con una realización, la transmisión anterior puede incluir ventajosamente la firma digital del motor de confianza Por ejemplo, el motor de confianza puede encriptar el troceo de la recepción con su clave privada, formando de esta manera una firma digital para adjuntarse a la transmisión al distribuidor.

De acuerdo con una realización, el motor de transacción transmite también un mensaje de source al usuario. Aunque el proceso de firma se desvela con referencia a sus realizaciones preferida y alternativa, la invención no pretende estar limitada de esta manera.

Por ejemplo, el distribuidor puede sustituirse con una aplicación de usuario, tal como una aplicación de correo electrónico.

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Por ejemplo, el usuario puede desear firmar digitalmente un correo electrónico particular con su firma digital. Como se muestra click here la Figura 12, el proceso de desencriptación empieza autenticando al usuario usando el proceso de autenticación De acuerdo con una realización, el proceso de autenticación incluye en la solicitud de autenticación, una clave de sesión síncrona.

El receptor usa su clave privada para desencriptar la clave de sesión, y a continuación usa la clave de sesión para desencriptar el mensaje. Por tanto, como a trusted cryptocurrency scheme for secure and verifiable digital transactions ha mencionado en lo anterior, la clave de sesión encriptada se incluye en la solicitud de autenticación.

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En la etapael motor de autenticación rellena la solicitud de autenticación que incluye la clave de sesión desencriptada, y transmite la solicitud de autenticación rellenada al motor de transacción En la etapael motor de transacción reenvía la solicitud de autenticación junto con la clave de sesión a la aplicación o distribuidor solicitante.

A continuación, de acuerdo con una realización, la aplicación o distribuidor solicitante usa la clave de sesión para desencriptar el mensaje encriptado.

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Como se ha mencionado en el proceso de inscripciónel motor de transacción almacena una copia del certificado digital del usuario, por ejemplo, en el almacenamiento masivo Por tanto, en la etapa del proceso de encriptaciónel motor de transacción solicita el certificado digital del usuario desde el almacenamiento masivo En la etapael almacenamiento masivo transmite el certificado digital que corresponde al usuario, al motor de transacción source En a trusted cryptocurrency scheme for secure and verifiable digital transactions etapael motor de transacción transmite el certificado digital a la aplicación o distribuidor solicitante.

De acuerdo con una realización, la porción de encriptación del proceso de encriptación no incluye la autenticación de un usuario. Como se muestra en la Figura 13, el sistema de motor de confianza comprende una pluralidad de distintos motores de confianza,yrespectivamente.

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Como se ha descrito con referencia a la Figura 10, para autenticarse, el usuario proporciona datos de autenticación a trusted cryptocurrency scheme for secure and verifiable digital transactions, tales como biométrica o similares, y los datos de autenticación actuales se comparan a los datos de autenticación de inscripción del usuario.

El motor de transacción del motor de confianza a continuación reenvía los datos de autenticación actuales al motor de autenticación que reside también en la primera localización.

El motor de transacción solicita también el ensamblaje de los datos de autenticación de inscripción desde los depositarios de, por ejemplo, cada uno de los motores de confianza, a De acuerdo con esta realización, cada depositario proporciona su porción de los datos de autenticación de inscripción al motor de autenticación del motor de confianza El motor de autenticación a continuación emplea las porciones de datos encriptadas desde, por ejemplo, los primeros dos depositarios para responder, y ensambla los datos de autenticación de inscripción en forma descifrada.

El a trusted cryptocurrency scheme for secure and verifiable digital transactions de autenticación compara los datos de autenticación de inscripción con los datos de autenticación actuales y devuelve un resultado de autenticación al motor de transacción del a trusted cryptocurrency scheme for secure and verifiable digital transactions de confianza Por ejemplo, un compromiso de seguridad en, por ejemplo, el depositario del motor de confianza no compromete necesariamente los datos sensibles del sistema de motor de confianza De acuerdo con una realización, cada uno de los motores de confianza, ycomprende alguno o todos los elementos del motor de confianza desvelado con referencia a las Figuras De acuerdo con esta realización, cuando las miniaplicaciones del lado del cliente del sistema de usuariodel sistema distribuidoro de la autoridad de certificaciónse comunican con el sistema de motor de confianzaestas comunicaciones se envían a la dirección de IP de cada uno de los motores de confianza a Por ejemplo, durante un proceso de autenticación, cada motor de transacción de cada uno de los motores de confianza,y transmite los datos de autenticación actuales a sus respectivos motores de autenticación y transmite una solicitud para ensamblar los datos aleatorizados almacenados en cada uno de article source depositarios de cada uno de los motores de confianza a La Figura 14 no ilustra todas estas comunicaciones; ya que tal ilustración se haría demasiado compleja.

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Continuando con el proceso de autenticación, cada uno de los depositarios a continuación comunica su porción de los datos aleatorizados a cada uno de los motores de autenticación de cada uno de los motores de confianza a Cada uno de los motores a trusted cryptocurrency scheme for secure and verifiable digital transactions autenticación de cada uno de los motores de confianza emplea su comparador para determinar si los datos de autenticación actuales coinciden con los datos de autenticación de inscripción proporcionados mediante los depositarios de a trusted cryptocurrency scheme for secure and verifiable digital transactions uno de los motores de confianza a De acuerdo con esta realización, el resultado de la comparación mediante cada uno de los motores de autenticación se transmite a continuación a un módulo de redundancia de los otros tres motores de confianza.

Por ejemplo, el resultado del motor de autenticación desde el motor de confianza se transmite a los módulos de redundancia de los motores de confianza, y La Figura 15 ilustra un diagrama de bloques del módulo de redundancia de more info Figura El módulo de redundancia comprende un comparador configurado para recibir el resultado de autenticación desde tres motores de autenticación y transmitir ese resultado al motor de transacción del cuarto motor de confianza.

El comparador compara el resultado de autenticación desde los tres motores de autenticación, y si dos de los resultados coinciden, el comparador concluye que el resultado de autenticación debería coincidir con el de los dos motores de autenticación que coinciden.

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Este resultado se transmite a continuación de vuelta al motor de transacción que corresponde al motor de confianza no asociado con los tres motores de autenticación. Proporcionando tal funcionalidad de redundancia, el sistema de motor de confianza asegura que un compromiso del motor de autenticación de uno de los motores de confianza aes insuficiente para comprometer el resultado de autenticación del módulo de redundancia de ese motor de confianza particular.

De acuerdo con una realización, tal reconocimiento puede. Como alternativa, la solicitud puede incluir datos en un formato de datos reconocible particular. Por ejemplo, los teléfonos móviles y satélites a menudo no incluyen la potencia de procesamiento para certificados de encriptación intensos X Como se ha analizado anteriormente, la autenticación son los procesos de a trusted cryptocurrency scheme for secure and verifiable digital transactions que un usuario es quien él dice ser.

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El motor de confianza de la presente invención representa la autoridad a la que un usuario debe autenticarse a trusted cryptocurrency scheme for secure and verifiable digital transactions sí mismo.

Cada tipo de autenticación tiene ventajas y desventajas particulares, y cada una proporciona un nivel diferente de seguridad. Cada tipo de autenticación requiere también que se conozca un tipo diferente de datos para la autoridad de autenticación para verificar que alguien usa esa forma de autenticación. Los protocolos internos y comunicaciones implicados en los procesos de autenticar a un usuario se describen con referencia a la Figura 10 anterior.

La parte de este proceso en la que la autenticación sensible al contexto tiene lugar ocurre en la etapa de comparación mostrada en la etapa de la Figura Esta etapa tiene lugar en el motor de autenticación e implica ensamblar los datos de inscripción recuperados desde el depositario y comparar los datos de autenticación proporcionados por el mismo usuario.

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Una realización particular de este proceso se muestra en la Figura 16 y se describe a continuación. Los datos de autenticación actuales proporcionados por el usuario y los datos de inscripción recuperados desde el depositario se reciben mediante el motor de autenticación en la etapa de la Figura El motor de autenticación separa los datos de autenticación asociados con cada instancia de autenticación individual en la etapa Esto es necesario de modo que los datos de autenticación se comparen con el subconjunto apropiado de los a trusted cryptocurrency scheme for secure and verifiable digital transactions de inscripción para el usuario por ejemplo los datos de autenticación de huellas digitales deberían compararse con datos de inscripción de huellas digitales, en lugar de los datos de inscripción de here. Cada instancia de autenticación consiste en datos relacionados con una técnica de autenticación particular por ejemplo, huella digital, contraseña, tarjeta inteligente, etc.

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El segundo grupo incluye sin limitación el grado de coincidencia entre los datos de inscripción y los datos proporcionados con la instancia de autenticación, y los metadatos asociados con esa instancia de autenticación. Cada uno de estos factores puede variar independientemente de los otros.

Para métodos de autenticación basados en contraseñas y conocimiento, esta fiabilidad a menudo es bastante baja puesto que no hay nada que evite que alguien revele su contraseña a otra persona y que esa segunda persona use esa contraseña. La autenticación basada en testigo, tal como tener una tarjeta inteligente apropiada o usar un terminal particular para a trusted cryptocurrency scheme for secure and verifiable digital transactions la autenticación, es de manera similar de baja fiabilidad usada por sí misma, puesto que no hay garantía de que la persona correcta esté en posesión del testigo apropiado.

Sin embargo, incluso las técnicas biométricas pueden tener algunas ocasiones en las que se genera una falsa aceptación o un falso rechazo.

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Estas ocurrencias pueden reflejarse por diferentes fiabilidades para diferentes implementaciones de la misma técnica biométrica. Por ejemplo, un sistema de coincidencia de huella digital proporcionado por una compañía puede proporcionar una fiabilidad superior que uno proporcionado por una compañía diferente puesto que uno usa óptica de calidad superior o una resolución de exploración mejor o alguna otra mejora que reduce la aparición de falsas aceptaciones o falsos rechazos.

Obsérvese que esta fiabilidad puede expresarse de diferentes maneras. La fiabilidad se expresa de manera deseable en alguna métrica que pueda usarse mediante la heurística y los algoritmos del motor de autenticación para calcular el nivel de confianza de cada autenticación un modo preferido de expresar estas fiabilidades es un porcentaje o fracción. El segundo factor para el que debe evaluarse la fiabilidad es la fiabilidad de la inscripción.

Este factor de fiabilidad refleja la fiabilidad de la identificación proporcionada durante el proceso de inscripción inicial.

Estos factores reflejan la confianza entre el motor de confianza y la fuente de identificación proporcionada durante el proceso de inscripción. Por ejemplo, si se realiza la inscripción en asociación con un empleador durante el proceso inicial de proporcionar evidencia de identidad, esta información puede considerarse extremadamente fiable para fines en la compañía, pero puede confiarse a un grado menor por una agencia gubernamental o por un competidor.

Por lo tanto, los motores de confianza operados por cada una de estas otras organizaciones pueden asignar diferentes niveles de fiabilidad a esta inscripción. De esta manera por ejemplo, una inscripción anónima o seudónima puede a continuación elevarse a una inscripción completa demostrando alguna inscripción oficial de la identidad del individuo que coincide con los datos inscritos.

In the Internet of Things, services can be provisioned a trusted cryptocurrency scheme for secure and verifiable digital transactions centralized architectures, where central entities acquire, process, and provide information.

Alternatively, distributed architectures, where entities at the edge of the network exchange information and collaborate with each other in a dynamic way, can also be used. In order to understand the applicability and viability of this distributed approach, it is necessary to know its advantages and disadvantages — a trusted cryptocurrency scheme for secure and verifiable digital transactions only in terms of features but also in terms of security and privacy challenges. The purpose of this paper is to show that the distributed approach has various challenges that need to be solved, but also various interesting properties and strengths.

Cloud applications entail the provision of a huge amount of heterogeneous, geographically-distributed resources managed and shared by many different stakeholders who often see more not know each other beforehand.

This raises numerous security concerns that, if not addressed carefully, might hinder the adoption of this promising computational model.

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Appropriately dealing with these threats gains special relevance in the social cloud context, where computational resources are provided by the users themselves. We argue that taking trust and reputation requirements into account can leverage security in these scenarios by incorporating the notions of trust relationships and reputation into them.

For this reason, we propose a development framework onto which developers can implement trust-aware social cloud applications. Developers can also adapt the framework in order to accommodate their application-specific needs. The advent of cloud computing has provided the opportunity to externalize the identity management processes, continue reading what has been called Identity Management as a Service IDaaS.

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However, as in the case of other cloud-based services, IDaaS brings with it great concerns regarding security and privacy, such as the loss of control over the outsourced data. As part of this PhD thesis, we analyze these concerns and propose BlindIdM, a model for privacy-preserving IDaaS with a focus on data privacy protection through the use of proxy re-encryption. Cloud governance, and in particular data governance in the cloud, relies on different technical and organizational practices and procedures, such as policy enforcement, risk management, incident management and remediation.

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The concept of accountability encompasses such practices, and is essential for enhancing security and trustworthiness in the cloud. Besides this, proper measurement of cloud services, both at a technical and governance level, is a distinctive aspect of the cloud computing model. Hence, a natural problem that arises is how to measure the impact on accountability of the procedures held in practice by organizations that participate in the cloud ecosystem.

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In this paper, we describe a metamodel for addressing the problem of measuring accountability properties for cloud computing, as discussed and defined by the Cloud Accountability Project A4Cloud. The goal of this metamodel is to act as a language for describing: i accountability properties in terms of actions between entities, and ii metrics for measuring the fulfillment of such properties.

It also allows the recursive decomposition of properties and metrics, from a high-level and abstract world to a tangible and measurable one.

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KIND $31,475 10.17% 0.0600 -0.58% $6.142200
PeerCoin $818,704 6.56% 0.0577 -0.71% $1.532454
Intelligent Investment Chain $541,365 0.93% 0.0891 +0.37% $3.540336
TMTG $394,479,519,924 7.35% 0.026 +0.39% $36.501361
VEE $170,424 3.17% 0.0300 +0.15% $10.187906
LitecoinCash $523,695,939,804 6.12% 0.0674 +0.68% $23.839659
THETA $516,805,400,285 7.83% 0.0289 +0.69% $43.876952
QCX $216,218 7.68% 0.0802 +0.10% $19.598149
NKN $478,855,824,985 10.69% 0.0996 +0.69% $0.181522
Content Value Network $477,783,440,124 0.44% 0.0484 +0.79% $3.38130
FTX Token $566,479,431,532 5.40% 0.028 +0.86% $22.60361
Monetha $382,327,544,460 7.91% 0.0623 +0.69% $1.872771
CVC $647,777 7.61% 0.0419 +0.56% $28.313768
SingularDTV $452,654 4.25% 0.0660 -0.66% $16.863919
Quoine Liquid $423,579 7.69% 0.0580 +0.23% $35.231157
Ontology $772,944 8.70% 0.0456 -0.48% $8.143748
Blocktix $591,115 1.52% 0.0447 -0.99% $5.717907
Groestlcoin $720,664 1.90% 0.0756 -0.94% $22.686538
SYS $310,417,712,353 5.49% 0.0990 +0.25% $39.67776
LNKC $650,324 7.60% 0.0108 -0.73% $6.708440
DEP $855,913,792,756 1.58% 0.0557 -0.70% $9.83763
VideoCoin $106,465,937,402 9.98% 0.08 -0.10% $24.992840
VIVID $20,858,577,326 9.31% 0.0199 +0.84% $6.59830
XDNA $815,462,799,560 8.39% 0.0454 -0.65% $12.211939
HYC $594,387 3.76% 0.0129 +0.72% $6.358448
ShipChain $98,892,934,279 9.68% 0.0314 -0.52% $0.2394
Red Pulse Phoenix $259,602 3.29% 0.0679 -0.60% $8.941630
Aragon $75,353 6.93% 0.0464 +0.73% $46.442472
Digitex Futures $412,626 6.52% 0.0800 +0.37% $33.187701
PRO $591,812 8.47% 0.0913 -0.11% $0.623506
MEME $431,306 6.17% 0.0392 +0.11% $3.339561
XDNA $735,139,309,695 8.68% 0.0210 -0.78% $27.368444
BABB $344,831 8.24% 0.043 +0.81% $9.381848
WXT $857,833,190,856 3.90% 0.0712 -0.91% $6.866362
XDN $85,509,482,602 1.72% 0.0264 -0.82% $3.191139
Zilliqa $31,473,295,576 8.38% 0.0231 -0.97% $5.460181
ELAMA $871,605 9.38% 0.0317 +0.13% $31.804577
DROP $18,448 2.15% 0.0348 +0.57% $0.76658
V Systems $733,802,716,661 8.21% 0.0396 +0.71% $6.337902
Amoveo $823,538,400,226 5.82% 0.0949 +0.54% $20.669334
Guppy $411,455,806,357 4.19% 0.0170 +0.65% $0.392106
ALGO $278,888 2.55% 0.0188 -0.68% $9.212240
HEDG $106,148 0.56% 0.0540 -0.62% $6.813989
PAX Gold $432,390,361,855 5.77% 0.0294 +0.55% $10.335510
LUNA $728,552 7.59% 0.0440 -0.37% $6.826122
SOLVE $195,349,339,576 3.12% 0.0647 -0.17% $4.818293
PinkCoin $288,626 4.98% 0.0436 +0.41% $23.241905
UTNP $547,739,620,998 6.87% 0.0995 +0.22% $20.199163
INFT $322,615 10.48% 0.0264 +0.87% $46.911692
INCNT $464,871,331,269 0.20% 0.0451 -0.88% $20.494881
FUNX $281,702,600,956 3.51% 0.0788 +0.17% $21.55194
BTM $141,613 9.99% 0.08 -0.18% $29.352994
YEE $825,766 4.80% 0.0875 +0.71% $4.939668
FLEX $430,814,410,115 0.19% 0.0803 +0.16% $42.624141
BitcoinX $380,981 5.34% 0.0453 -0.87% $16.26529
Klaytn $286,778,425,307 6.17% 0.08 +0.29% $34.155154
AXPR $440,303 9.96% 0.0902 -0.35% $26.550370
GSC $698,795,118,930 4.34% 0.0605 +0.30% $5.770643
Achain $854,690 8.56% 0.0724 +0.16% $6.25985
Mainframe $241,290,870,609 3.49% 0.0494 -0.96% $9.631979
GNX $854,980,629,289 7.70% 0.0734 -0.64% $4.622384
KCS $761,670 1.23% 0.0381 +0.60% $23.959345
INFT $711,553,827,160 9.99% 0.0170 -0.76% $6.88813
CURE $873,575,652,160 6.87% 0.048 +0.39% $50.658364
Ignis $796,429,858,665 7.33% 0.0344 -0.62% $23.30420

Finally, we illustrate our proposal of the metamodel by modelling the transparency property, and define some metrics for it. Ambas fases permiten mantener a la estación base fuera del alcance del atacante con un coste computacional insignificante y un consumo energético moderado.

In recent times, smart home devices like Amazon Echo and Google Home have reached mainstream popularity. There are growing concerns about indiscriminate data collection and invasion of user privacy in smart home devices.

La validez de nuestro esquema ha sido validada analíticamente y a través de numerosas simulaciones. Prevention, detection and response are nowadays considered to be three priority topics for protecting critical infrastructures, such as energy control a trusted cryptocurrency scheme for secure and verifiable digital transactions. Despite attempts to address these current issues, there is still a particular lack of investigation in these areas, and in particular in dynamic and automatic proactive solutions.

In this paper we propose a mechanism, which is called PDR, with the capability of anticipating anomalies, detecting anomalous behaviours and responding to them in a timely manner. PDR is based on a conglomeration of technologies and on a set of essential components with the purpose of offering situational awareness irrespective of where the system is located.

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In addition, the mechanism can also compute its functional capacities by evaluating its efficacy and precision in the prediction and detection of disturbances. With this, the entire system is able to know the real reliability of its services and its activity in remote substations at a trusted cryptocurrency scheme for secure and verifiable digital transactions times.

Continuous authentication is mainly associated with the use of biometrics to guarantee that a resource is being accessed by the same user throughout the usage period. Wireless devices can also serve as a supporting technology for continuous authentication or even as a complete alternative to biometrics when accessing proximity-based services. In this paper we present the implementation of a secure, non-invasive continuous a trusted cryptocurrency scheme for secure and verifiable digital transactions scheme supported by the use of Wearable Wireless Devices WWDwhich allow users to gain access to proximity-based services while preserving their privacy.

Additionally we devise an improved scheme that circumvents some of the limitations of our implementation. This work describes the design and implementation of an auction system using secure multiparty computation techniques. More info aim is to produce a system that is practical under actual field constraints on computation, memory, and communication.

The underlying protocol is privacy-preserving, that is, the winning bid is determined without information about the losing bids leaking to either the auctioneer or other bidders.

Practical implementation of the protocol is feasible using circuit-based cryptographic proofs along with additively homomorphic bit commitment. These certificates convey sufficient information to recreate the cryptographic proofs and verify them offline.

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The main objective of remote substations is to provide the central system with sensitive information from critical infrastructures, such as generation, distribution or transmission power systems. Wireless sensor networks have been recently applied in this particular context due to their attractive services and inherent benefits, such as simplicity, reliability and cost savings.

However, as the number of control and data acquisition systems that use the Internet infrastructure to connect to substations increases, it is necessary to consider what connectivity model the sensor infrastructure should follow: either completely isolated from the Internet or integrated with it as part of the Internet of Things paradigm.

Any deliberate or unsuitable operational action in control tasks of critical infrastructures, such source energy generation, transmission and distribution systems that comprise sub-domains of a Smart Grid, could have a significant impact on the digital economy: without energy, the digital economy a trusted cryptocurrency scheme for secure and verifiable digital transactions live.

In addition, the vast majority of these types of critical systems are configured in isolated locations where their control depends on the ability of a few, supposedly trustworthy, human operators. However, this assumption of reliabilty is not always true.

Malicious human operators criminal insiders might take advantage of these situations to intentionally manipulate the critical nature of the underlying infrastructure.

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These criminal actions could be not attending to emergency events, inadequately responding to incidents or trying to alter the normal behaviour of the system with malicious actions.

Recent work by Liu et al.

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In order to make such protection holistic, covering all the needs of the systems from the point of view of security, prevention aspects and situational awareness should be considered. To this end, we study the different levels of automation that the IDS can implement, and outline a methodology to endow critical scenarios with preventive automation.

Finally, we analyze current solutions presented in the literature and contrast them against the proposed a trusted cryptocurrency scheme for secure and verifiable digital transactions. Security must be a primary concern when engineering Future Internet FI systems and applications. Whereas the security community has traditionally focused on providing tools and mechanisms to capture and express hard security requirements e. We argue that these soft security requirements can leverage security in open, distributed, heterogeneous systems and applications and that they must be included in an early phase as part of the development process.

In this paper we propose a UML extension for specifying trust and reputation requirements, and we apply it to an eHealth case study.

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Software engineering currently provides frameworks to develop reasoning engines that automatically take reconfiguration decisions and that support the runtime adaptation of distributed, heterogeneous applications.

However, these frameworks have very limited support to address security concerns of these application, hindering their usage for FI scenarios.

A trusted cryptocurrency scheme for secure and verifiable digital transactions address this challenge by enhancing self-adaptive systems with the concepts of trust and reputation. Trust will improve decision-making processes under risk and uncertainty, in turn improving security of self-adaptive FI applications.

This paper presents an approach that includes a trust and reputation framework into a platform for adaptive, distributed component-based systems, thus providing software components with new abilities to include trust in their reasoning process.

The Future Internet is posing new security challenges as their scenarios are bringing together a huge amount of stakeholders and devices that must interact under unforeseeable conditions.

In addition, in these scenarios we cannot expect entities to know each other beforehand, and therefore, they must be involved in risky and uncertain collaborations. In order to minimize threats and security breaches, it is required that a well-informed decision-making process is in place, and it is here where trust and reputation can play a crucial role.

Unfortunately, services go here applications developers are often unarmed to address trust and reputation requirements in these scenarios.

To overcome this limitation, we propose a trust and reputation framework that allows developers to create trust- and reputation-aware applications. Many remarkable solutions have been developed in this area, most of which have proven to be effective in the protection of user privacy against different types of attacks.

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Recently, the privacy preservation problem has also been considered in the realm of wireless sensor networks WSNs due to their imminent adoption in real-world scenarios.

In this work we concentrate on analyzing the suitability of traditional anonymous communication systems originally designed for the Internet to the original scenario of sensor networks. The results show that, in most cases, traditional solutions do not provide the adequate protection means for the particular problem of location privacy, while other solutions are too resource-consuming for the restricted capabilities of sensor nodes.

For such purpose, the PN must securely accommodate heterogeneous technologies with uneven computational visit web page communication resources. However, the highly constrained features of common RFID tags and their passive role in the network highlights the need of an adequate secure communication model with personal tags which enables their participation as a trusted cryptocurrency scheme for secure and verifiable digital transactions member of the PN.

In this paper, we present our concept of PN, with special emphasis on the role of RFID and sensor networks, and define a secure architecture for PNs including methods for the secure a trusted cryptocurrency scheme for secure and verifiable digital transactions to context-aware technologies from both local PN members and the Internet of Things.

La presente invención se refiere en general a un sistema para asegurar datos del acceso o uso no autorizado. Antecedentes de la invención.

The PN architecture is designed to support differentiated security mechanisms to maximize the level of security for each click of personal device. Furthermore, we analyze which security solutions available in the literature can be adapted for our architecture, as well as the challenges and security mechanisms still necessary in the secure integration of personal tags.

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Combining a wide-area situational awareness WASA methodological framework with a set of requirements for awareness construction can help in the development and commissioning of future WASA cyberdefense solutions. Control and situational awareness are two very important aspects within critical control systems, since potential faults or a trusted cryptocurrency scheme for secure and verifiable digital transactions behaviors could lead to serious consequences by hiding the real status of supervised critical infrastructures.

Examples of these infrastructures are energy generation, transmission or distribution systems that belong to Smart Grid systems. Given the importance of these systems for social welfare and its economy, a situational awareness-based model, composed of a set of current technologies, is proposed in this paper.

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The model focuses on addressing and offering a set of minimum services for protection, such as prevention, detection, response, self-evaluation and maintenance, thereby providing a desirable protection in unplanned situations. Por ello, este trabajo analiza la posibilidad de adaptar las soluciones de anonimato tradicionales al problema particular de las redes de sensores.

Nuestros resultados demuestran que, en general, algunos ACS no cumplen los requisitos de privacidad necesarios en WSNs mientras que otros, que si los cumplen, se valen de una cantidad de recursos que superan la capacidad de los sensores. Our society is becoming increasingly more IT-oriented, and the images and sounds that reflect our daily life are being a trusted cryptocurrency scheme for secure and verifiable digital transactions mainly in a digital form.

This digital personal life can be part of the home multimedia contents, and users demand access and possibly share these contents such as photographs, videos, and music in an ubiquitous way: from any location and with any device. The purpose of this article is twofold. First, we introduce the Feel Home system, whose main click is to enable the previously mentioned vision of an ubiquitous digital personal life.

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Second, we describe the security architecture of Feel Homeanalyzing the security and privacy requirements that identify which threats and vulnerabilities must be considered, and deriving the security building blocks that can be used to protect both IMS-based and VPN-based solutions. The use of modern information and communications technologies in supervisory control and data acquisition SCADA systems used in the critical infrastructure has become an important topic of research.

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The modernization significantly enhances operational performance, but also introduces security issues and the associated risks. This paper formally analyzes how the introduction of new technologies can impact control systems and ultimately affect the performance of the critical infrastructure systems being controlled.

Five control system requirements are identified with the goal of proposing new operational requirements that trade-off performance and security.

During the last twenty years, a huge amount of trust and reputation models have been proposed, each of them with their own particularities and targeting different domains.

No confundas funcionamiento técnico con análisis, yo creo k sobran muchos comentarios..

While much effort has been made in defining ever-increasing complex models, little attention has been paid to abstract away the particularities of these models into a common set of easily understandable concepts.

We propose a conceptual framework for computational trust models that will be used for analyzing their features and for comparing heterogeneous and relevant trust models. Wireless sensors are battery-powered devices which are highly constrained in terms of computational capabilities, memory and communication bandwidth.

While battery life is their main limitation, they require considerable energy to communicate data.

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Due to this, it turns out that the energy saving of computationally inexpensive primitives like symmetric key cryptography SKC can be nullified by the bigger amount of data they require to be sent.

In this work, we study the energy cost of key agreement protocols between peers in a network using asymmetric key cryptography. Our main concern is to reduce the amount of data to be exchanged, which can be done by using special cryptographic paradigms like identity-based and self-certified cryptography.

ES2658097T3 - Método y sistema de análisis de datos seguro - Google Patents

The main news is that an intensive computational primitive for resource-constrained devices, such as non-interactive identity-based authenticated key exchange, performs comparably or even better than traditional authenticated key exchange AKE in a variety of scenarios. Moreover, protocols based in this primitive can provide better security properties in real deployments than other simple protocols based on symmetric cryptography.

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Our findings illustrate to what extent the latest implementation advancements push the efficiency boundaries of public key cryptography PKC in wireless sensor networks WSNs. From this analysis we observe several features that can be effectively exploited for subliminal data transmission.

It began with Bitcoin, but now it has spread. Blockchain has the potential to radically

During the last decades, a huge amount of trust and reputation models have been proposed, each of them with their own particularities and targeting different domains.

We propose a conceptual framework for computational trust models that is used for developing a component-oriented development framework that aims to assist developers during the implementation phase.

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The ubiquity of positioning devices poses a natural security challenge: users want to take advantage of location-related services as well as social sharing of their position but at the same time have security concerns about how much information should be shared about their exact position.

This paper discusses different location-privacy problems, link formalization and the novel notion of indistinguishability regions that allows one to proof that a given obfuscation function provides a good trade-off between location sharing and privacy.

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SP IEEE Symposium on, — Cramer, R. Fumy, ed.

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Cranor, L. Dimitris GritzalisKluwer Academic Publishers, chapter In search of the perfect voting technology: no easy answers, 17— Cuvelier, e.

Crampton, S. Demirel, D.

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Documento de Trabajo. ElGamal, T. Chaum, eds, Advances in Cryptology, Vol.

a trusted cryptocurrency scheme for secure and verifiable digital transactions

Feige, U. Feldman, A. Fujioka, A. Gerck, E.

Goldwasser, S. Goler, J. Yet authorities a trusted cryptocurrency scheme for secure and verifiable digital transactions to be aware of the potential risks they pose for the economy. Are VCs the latest incarnation of money? The answer for now, and indeed for the foreseeable future, is no. Economists identify money as a verifiable asset that serves as a medium of exchange, a unit of account and a store of value.

How well do VCs carry out those functions? FirstVCs' performance as a medium of exchange is weak - to say the least. Some here attained patchy acceptance - the largest at present, bitcoin, is accepted by some retail outlets.

But on a global scale these outlets remain small a trusted cryptocurrency scheme for secure and verifiable digital transactions number, and hardly any actual transactions take place.

On a daily basis, there are aroundbitcoin transactions globally, compared with million retail payments in the euro area. Bitcoin is far inferior to existing payment options. Transactions generally require confirmation from six miners, click can take an hour, or potentially much longer due to network congestion.

The second function of money is acting as a unit of account, without which buyers and sellers would not be able to measure the value of a particular good or service. VCs fail this test - none of them are generally accepted as a unit of account. In part this is due to the lack of widespread recognition. VCs are not legal tender and are not backed by a central bank.

Moreover, their prices are too volatile to establish a reference value.

But the lack of acceptance as a unit of account is also down to the third function of money - being a store of value. VCs exhibit wild fluctuations in value.

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For instance, the average volatility of the top ten VCs by market capitalisation was more than 25 times higher than that of the US equities market.

Such fluctuations mean that businesses setting prices in VCs could find themselves with a large and detrimental gap between their actual price and their optimal price. Similarly, households cannot rely on VCs as a stable store of value to optimise their spending over time by saving. VCs have neither intrinsic value, such as the commodity content of gold coins, nor extrinsic value, such a trusted cryptocurrency scheme for secure and verifiable digital transactions the value assigned to traditional fiat currencies by the trusted public issuing authority.

It is very clear that VCs currently do not fulfil the three basic functions of money: learn more here are inefficient media of exchange, poor stores of value and are not used as units of account.

It can be seen as a new method of tracking any kind of shipment or transaction, in any kind of supply chain.

With each participant in the supply chain or transaction keeping their own live record of all their information, the potential to tamper with the data decreases. Blockchain could be applied to optimize freight flows by publicly identifying empty containers and using them for shipping purposes, thus increasing efficiency. The opportunities that exist for Blockchain implementation are limitless, as are the challenges.

We take an in-depth look at these. Here now. Smart contracts, enabled by blockchain—distributed ledgers—have been touted as a cure for The potential of smart contracts — programmable contracts that automatically execute when pre-defined conditions are met — is the subject of much debate and discussion in the financial services industry.

Smart contracts, enabled by blockchain or distributed ledgers, have been held up as a cure for many of the problems associated with traditional financial contracts, which a trusted cryptocurrency scheme for secure and verifiable digital transactions simply not geared up for the digital age.

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Reliance on physical documents leads to delays, inefficiencies and increases exposure to errors and fraud. Financial intermediaries, while providing interoperability for the finance system and reducing risk, https://coin-payment.site/santiment/875.php overhead costs for and increase compliance requirements.

In this report, we aim to cut through the speculation and hype around the potential of smart contracts.

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Investment banking: In trading and settlement of syndicated loans, corporate clients could benefit from shorter settlement cycles. Rather than the current 20 days or more, smart contracts could bring this down to 6 to 10 days.

Investment banks in the US and Europe would also see lower operational costs. Retail banking: The mortgage loan industry will benefit significantly by adopting smart contracts. Consumers could also expect lower premiums as insurers potentially pass on a portion of their annual savings to them.

Blockchain technology is set to revolutionize the flow of transactions and the daily lives of Blockchain technology is set to revolutionize the flow of transactions and the daily lives of hundreds of millions of people around the world.

Capgemini has already begun designing blockchain solutions for banking and financial services. Blockchain technology will shake up just about everything, especially the financial sector. But what is it exactly?

Lots of ETH alts are trying to work their way back up while ETH itself is figuring out what it wants to do

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Coin / Name Market Cap Dominance Trading Volume Volume / Market Cap Change 24H Price
People $669,345 5.35% 0.0750 +0.11% $21.191958
Steem Backed Dollars $834,556,332,255 1.37% 0.0684 -0.56% $20.99413
Vivid Coin $287,516,778,717 2.46% 0.0790 -0.51% $6.219389
PRE $898,111 9.30% 0.0901 +0.75% $47.322926
Neblio $352,234 7.76% 0.0467 -0.83% $2.997587
MAID $297,864,689,566 8.17% 0.0349 -0.30% $9.645739
Crown Coin $484,742 1.47% 0.0458 +0.64% $5.17991
GUP $354,979 0.74% 0.057 +0.99% $39.8391
ONGAS $369,720,647,421 4.47% 0.0821 +0.43% $7.499282
OKCash $587,347,280,920 10.65% 0.054 +0.42% $34.464409
REN $215,620 9.12% 0.0633 +0.24% $43.917732
Elrond $131,195 8.13% 0.045 +0.81% $16.482591
GTO $100,799 1.77% 0.0435 +0.94% $4.407927
Binance Coin $1,505,237,795 8.62% 0.0799 +0.76% $5.673364
Digital Gold Exchange $829,216,190,426 9.87% 0.010 +0.38% $43.307926
HMQ $584,921 0.88% 0.0889 +0.75% $9.549325
BHEX Token $197,958 10.32% 0.0465 +0.99% $27.952917
CHSB $673,548,582,708 8.89% 0.0569 -0.94% $12.596621
BCD $67,646 9.56% 0.0923 +0.86% $42.790814
LBRY Credits $536,338 10.89% 0.0756 -0.86% $9.890973
PKT $658,439 4.18% 0.010 -0.24% $10.497729
ERT $539,120,366,231 4.43% 0.0943 -0.16% $33.154128
I-House Token $840,912,663,705 5.97% 0.0686 +0.25% $18.775730
DOCK $91,164,289,945 5.22% 0.0832 -0.85% $7.840318
BOSAGORA $780,971 8.55% 0.0381 -0.91% $8.328820
Yggdrash $543,775 7.61% 0.043 -0.52% $41.295954
STK $782,929,302,942 4.88% 0.0804 +0.31% $7.516287
IPL $554,133,383,723 6.28% 0.0179 -0.81% $22.22402
Opus $253,258 8.48% 0.0261 +0.82% $1.6823
Yoyow $821,769 9.16% 0.0507 -0.19% $5.609304
SNX $284,491 0.11% 0.0842 -0.36% $10.999933
PotCoin $420,450 2.21% 0.0374 +0.97% $47.354219
HYDRO $533,213,885,670 8.43% 0.0107 +0.36% $17.501793
AMM $880,237,547,504 3.47% 0.0239 -0.96% $9.9223
Experty $881,978,476,988 4.83% 0.0384 +0.75% $6.689950
Matryx $87,510,640,606 4.29% 0.0472 -0.27% $38.808432
Bancor Network Token $607,697,643,903 8.82% 0.0961 +0.76% $10.489128
Hydro $513,293 9.93% 0.0294 -0.91% $5.955104
Bitcoin Private $24,864 8.12% 0.024 -0.53% $7.404215
Aeternity $492,372,779,445 6.10% 0.0577 -0.79% $8.728461
Mycelium Token $873,898,507,699 1.45% 0.0542 +0.90% $42.346476
HBT $513,673,593,866 10.14% 0.0932 +0.74% $5.814723
ZSC $319,641,634,514 4.44% 0.0291 +0.39% $7.145375
HPB $509,177,238,457 0.87% 0.0626 +0.94% $41.622869
VTHO $63,758,205,851 7.13% 0.0524 +0.85% $1.254646
Bankera $221,165 7.96% 0.0161 -0.64% $4.651331
NEM $176,164,516,728 6.96% 0.072 -0.17% $5.38101
FCT $437,578,875,408 6.71% 0.0249 +0.82% $9.46122
NextDAO $828,591 0.23% 0.0664 -0.80% $1.169219
SLS $665,434 10.53% 0.0557 -0.78% $0.722609
EM $130,290 4.42% 0.0476 +0.42% $36.791286
SONM $66,169 0.95% 0.0919 +0.47% $40.867932
eosDAC $241,366 2.71% 0.0770 +0.32% $13.32400
ENG $279,725,617,304 8.80% 0.0302 -0.37% $43.520427
GNT $408,774 10.51% 0.0605 +0.85% $34.974742
Tripio $191,800,573,898 0.22% 0.0789 -0.62% $26.696254
HTML $607,858,935,551 8.23% 0.0135 +0.20% $4.55412
TE-FOOD $757,405,875,462 5.78% 0.0310 +0.67% $20.439425
Odyssey $511,533,817,730 10.74% 0.0168 -0.56% $19.119730
TELOS $179,809,146,839 4.70% 0.0456 +0.73% $29.533687
HT $721,123 7.69% 0.024 -0.34% $41.446815
KIN $224,346,501,734 0.31% 0.0420 +0.95% $10.830294
HOLO $99,226,166,415 7.41% 0.0641 +0.26% $5.964892
Intelligent Investment Chain $793,712,873,562 9.14% 0.0512 -0.54% $10.359284
district0x $345,437 7.62% 0.0222 -0.36% $5.609856
CosmoChain $457,844,140,956 3.99% 0.0678 +0.67% $33.905851
BIHU $321,454,788,860 6.41% 0.0373 -0.49% $4.883934
FLETA $745,616 3.66% 0.062 +0.96% $20.443283
Matryx $21,256,129,522 10.75% 0.0514 -0.83% $22.785379

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  1. Alguno conoce un grupo de nxt?
  2. Are you implying that eth was/is a long con
  3. Referencing Forex, keep your currencies straight big guy. Yen is Japan, Yuan is China. Good content for newbies though.

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We use cookies to improve your experience on our website. Pero se ha vuelto sinónimo de una ideología libertaria que trata a gobiernos, bancos centrales, instituciones financieras tradicionales y monedas del mundo real como malvadas concentraciones de poder que es preciso destruir.

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Mientras no pase nada raro. And you MUST get said tattoo when MSP hits $10 Goddess becomes godd girl stays girl and so on Iremos recuperando cuando pase un poco la fiebre de las malas noticias de ayer I wish the bitcoin comparisons would stop Result, forever project Dont be mean about btc plz Got it, the joke is on me RDN/BTC Price Alert! for Raiden Network Token on Binance If i buy it iwll drop What time does crypto go here reset by peer Its not even a trusted cryptocurrency scheme for secure and verifiable digital transactions for japan the 21million cap for bitcoin Para no perder las llaves privadas te las puedes tatuar en la piel encriptadas.

We use cookies to improve your experience on our website. Pero se ha vuelto sinónimo de una ideología libertaria que trata a gobiernos, bancos centrales, instituciones financieras tradicionales y monedas del mundo real como malvadas concentraciones de poder que es preciso destruir.

La gente que solo se queja de que no venden es porque no hacen nada para vender, deberían sacarlos del grupo porque no tienen amor por las criptomonedas y solo quieren ganar dólares para irse.. Deberían dejar solo a la gente que le interesa el proyecto porque no hay ningún otro proyecto donde los admin atiendan tan bien.

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Gracias por la recomendación. quiero algo donde podamos hablar todos sin que sea un desastre. pero la verdad no he encontrado nada. como dices todo está en inglés. y explicar todo a la gente todos los dias no es mi sueño jajaja . en cuanto empiece les aviso y ya saben me pueden criticar y no me enojo.

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Bought at 117 and sold at 350

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Debe corregir a 11480 aprox de hoy a mañana es mi punto de vista

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What has done the litecoin foundation to me?

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Yeah. i just see them ripping through coinmarketcap

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Comments

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  • Redrxse X: Dejad de criticar a Ismael todos los puntos de vista son válidos y cada uno absorbe lo que le da la gana. can f1 students invest in bitcoin.
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  • - Tami W.: With all the positive fundamentals surrounding BTC, it's so difficult to swallow these massive dumps and downtrends. Clearly the whales are dumping the price in order for their buddies to later get in on the action when Bakkt and others launch in late September. Given the added liquidity and volume that will enter the space, I feel the price can really only go up from here. Thoughts?
  • JASMINE ROSE: You know what I mean. It's getting hard to sort through actionable info.
  • -- Captain Stove: Why? any reasons bro