面向云计算基于双层激励和欺骗检测的信任模型

针对云计算环境下存在的信任问题,该文提出基于双层激励和欺骗检测的信任模型(CCIDTM)。该模型提出了一组云计算服务属性评价指标,引入了信任度随时间衰减的动态信任机制,建立了对服务提供商服务行为和用户评价行为的双层激励机制,提出了一个共谋欺骗检测算法,提高了模型的动态适应性和评价的综合性。实验结果表明,与已有信任模型相比,该模型评估的结果更接近服务提供商的真实服务行为,能够有效地抵抗各种恶意行为的攻击,表现出良好的鲁棒性。

Trust Model Based on Double Incentive and Deception Detection for Cloud Computing

Considering at the trust problem existing in cloud computing environment,a double incentive based on trust and deception detection model CCIDTM(Cloud Computing Incentive and Detection Trust Model) is proposed.The model proposes a set of cloud computing services property evaluation,introducing a dynamic mechanism of trust decaying over time,establishing a double incentive mechanism about service behavior of service providers as well as users’ evaluate behavior.An algorithm of conspiracy to deceive group testing which improves the model of dynamic adaptation and evaluation of comprehensive is also proposed.Experiment results show that the model results of the assessment service providers closed to the true service behavior.Thus it can effectively resist the attacks of malicious behavior,showing a good robustness compared with the existing trust model.