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A Dynamic Trust Management Mechanism in Distributed CRNs

机译:分布式CRNS中的动态信任管理机制

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Cognitive radio technology is used to alleviate the contradiction between the scarcity problem and low utilization rate of spectrum resources. However, the existence of unbelievable data leads to an inaccurate judge for some available resources, which causes the failed network behaviors and interferes the authorized networks. The traditional security techniques can't defense this threat efficiently. This paper proposes a dynamic trust management mechanism based on cognitive cycle in distributed Cognitive Radio Networks (CRNs). The proposed mechanism can accomplish the reward and penalty to the users by dividing the benefits, intentions and features of users' behaviors, using multi-factor to calculate the normal and cooperate reputation in category, and using the dynamic selection of forgetting factor to update the reputation. The theories and experiments verify this mechanism has better feasibility, accuracy, dynamicity and security.
机译:认知无线电技术用于减轻稀缺问题与频谱资源利用率低之间的矛盾。但是,令人难以置信的数据存在导致某些可用资源的不准确的判断,这导致了未出现的网络行为和干扰授权网络。传统的安全技术无法有效地防御这种威胁。本文提出了一种基于在分布式认知无线网络(CRNS)中的认知周期的动态信任管理机制。拟议的机制可以通过划分用户行为的益处,意图和特征来实现用户的奖励和惩罚,使用多因素来计算类别中的正常并协作声誉,并使用动态选择忘记因素更新名声。理论和实验验证了这种机制具有更好的可行性,准确性,动力和安全性。

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