基于模糊预测的无线传感器网络信任模型

发布时间：2018-02-01 17:51

本文关键词： 无线传感器模糊预测信任模型隶属度　出处：《计算机应用》2014年03期 　论文类型：期刊论文

【摘要】：针对无线传感器网络(WSN)中的信任值更新问题,提出了一种基于模糊预测(FP)的无线传感器网络信任值更新的方法——RMFP。算法采用模糊数学理论方法,利用模糊隶属函数来全面地刻画节点的表现行为,并将其转换成节点的模糊隶属度,最后将模糊隶属度进行整合以实现节点的信任值更新。仿真实验表明,所提算法在整合节点信任值精确度方面提高了10.8%,在判断可疑节点的速度方面提高了两倍。这说明基于模糊预测的节点信任值更新算法在发现并摒除恶意节点的准确率和速度上均有显著的效果,尤其是针对前期取得高信任的恶意节点的判断具有很强的优势。
[Abstract]:Aiming at the problem of trust value updating in wireless sensor networks (WSNs). This paper presents a new method for updating the trust value of wireless sensor networks based on fuzzy prediction and FPP-RMFP.The algorithm uses fuzzy mathematics theory. The fuzzy membership function is used to describe the behavior of the node, and the fuzzy membership degree is transformed into the fuzzy membership degree of the node. Finally, the fuzzy membership degree is integrated to update the trust value of the node. The proposed algorithm improves the accuracy of integrating node trust values by 10.8%. The speed of judging suspicious nodes is increased by two times, which shows that the trust value updating algorithm based on fuzzy prediction has remarkable effect on the accuracy and speed of detecting and eliminating malicious nodes. Especially, the judgment of malicious nodes with high trust in the early stage has a strong advantage.
【作者单位】：南京邮电大学无线网络联合实验室;南京邮电大学计算机学院;
【基金】：国家973计划项目(2011CB302903) 国家自然科学基金资助项目(60873231) 江苏高校优势学科建设工程资助项目(yx002001)
【分类号】：TP212.9;TN929.5
【正文快照】： 0引言无线传感器网络(Wireless Sensor Network,WSN)具有十分广阔的应用前景。随着WSN应用的日益复杂,加之其自身易受到各类攻击的特点,其安全需求也呈现出多样性。传统的基于密码体系的安全机制主要用于抵抗外部攻击,无法有效地抵抗由于节点被俘获而发生的内部攻击[1]。当节

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