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机构地区:[1]浙江师范大学数理与信息工程学院,浙江金华321004
出 处:《浙江师范大学学报(自然科学版)》2018年第1期39-43,共5页Journal of Zhejiang Normal University:Natural Sciences
基 金:浙江省重中之重学科"计算机软件与理论"开放课题资助项目(ZSDZZZZXK24;ZC323014085;ZC323016036)
摘 要:为了解决无线传感器网络中的网络安全问题,针对无线传感器网络中节点恶意行为,提出了一种基于可信机制的节点恶意行为检测方法."所提方法"考虑到了来自第3方节点的间接信任并将直接信任同间接信任进行整合.整合过程中首先对第3方节点的信任按照一定的方法进行判断,当满足一定条件时按照D-S证据理论进行整合处理.仿真实验结果表明:"所提方法"能使得网络抵制节点恶意行为的健壮性更好,同时也保证网络具备更高的数据包传递有效性.In order to solve the problem of network security in wireless sensor networks,regarding the misbehaving nodes in wireless sensor networks,a misbehaving node detecting method was proposed. The proposed method took the indirect trust from the third parties into consideration and integrated the direct trust with the indirect trust. Before the trust integration,indirect trust from the third parties was evaluated according to certain rules. When the result was satisfied,the integration was carried out based on D-S theory. Simulations showed that the proposed method would improve the robustness of the network in defending the node misbehavior and enhance the data packet effectiveness.
关 键 词:无线传感器网络 节点恶意行为 可信机制 信任整合
分 类 号:TB114[理学—概率论与数理统计]
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