Titlebook: Autonomic and Trusted Computing; 6th International Co Juan González Nieto,Wolfgang Reif,Jadwiga Indulska Conference proceedings 2009 Spring

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National and International Politics,nisms have been introduced to provide valuable information to buyers prior to placing orders and making payments. Meanwhile, the trust issue is also actively studied in the research community. However, in most existing studies, a single trust value is computed based on ratings given for a seller or

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Graham Greene: The Dangerous Edgey the specification of security policies but also the techniques needed to manage and implement security policies. A formal system for the specification of trust for such systems requires the ability to reason about agent beliefs as well as the evolution of the system through time. In this paper, we

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Introduction: The Dangerous Edge,attempting to corrupt management operations and services. These so-called “cheating services” act as “attacks”, altering the performance and the security in communication systems by consumption of computing or network resources unnecessarily.

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Using Reinforcement Learning for Multi-policy Optimization in Decentralized Autonomic Systems – An E perform better than combining policies into a single learning process over a single state space. The results also indicate that explicitly supporting multiple policies simultaneously can improve waiting times over policies dedicated to optimizing for a single vehicle type.

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Theories of Trust for Communication Protocolsf trust are generally established based on the initial trust of agents in the security mechanisms of the system in which they are deployed. Such theories provide a foundation for reasoning about agent beliefs as well as security properties that systems may satisfy.