传感器网络的正常运行依赖于传感器节点的相互协作,对于易俘获、可靠性差的传感器节点组成的传感器网络来说,及时有效地识别网络中的恶意节点有着极其重要的意义。一种基于本地信息的评估节点信任值的信任管理机制,与以往的信任管理系统相比,能够有效解决以往系统存在的正常节点误判为恶意节点等问题。算法分析和仿真实验证明了该系统与RFSN系统相比,具有较为明显的优越性。
Sensor networks consists of a large number of low-cost sensing nodes,which are unreliable and vulnerable to malicious attacks and node compromise.The performance of networks depends on the collaboration among nodes,hence effective,timely detection of malicious nodes in networks,deployed in hostile environments,become extremely important.According to local information,we propose a trust management sheme to evaluate the trust value of nodes.The proposed system can solve key problems of existing systems,such as honest nodes being misjudged.Theoretical analyis and experimental simulation demonstrate that the proposed scheme is of superiority comparing with the RFSN system.