针对Adhoe网格环境中存在恶意节点的问题,提出基于信任的反应机制检测和惩罚Adhoe网格环境中的恶意节点。分析Adhoe网格的数学信任模型,采用不同方法处理节点的检测信息,使用网格仿真平台对这些模型进行比较和性能评估。最后,根据评估结果选择一种最准确的信任模型,建立被动信任机制。仿真结果表明,提出的机制检测和惩罚恶意节点的概率可达100%,且不会产生误报,相比其他几种较新的检测机制,本机制在恶意节点惩罚概率、节能和延迟方面获得了更好的性能。
For the issue of malicious nodes exsited in the Ad hoc grid environment, this paper proposed a trust-based reactive mechanism to detect and punish malicious nodes in Ad hoc grid environments. Firstly, it analysed the mathematical trust mo- dels in Ad hoc grid scenarios, used different methods to process detection information of nodes. Then, it used a grid simulator platform to do a comparison and performance evaluation for these models. Finally, it chose one of the most accurate trust model according to the assessment results, established passive trust reaction mechanism. Simulation results show .that the probability of detecting and punishing malicious node using proposed mechanism can achieve at 100% without false positives. The pro- posed mechanism has better performance on punish probability of malicious nodes, saving energy and reducing delay than seve- ral advanced detecting mechanisms.