基于信任评估的自适应无线传感网安全定位算法

发布时间：2018-05-24 23:34

本文选题：无线传感网 + 安全定位　；参考：《南京邮电大学》2017年硕士论文

【摘要】：随着无线传感网的快速发展,基于无线传感网的应用扩展至环境监控、物流调度、灾情预警等多个领域。无线传感网定位作为基础和重要技术之一越来越受到重视。无线传感器网络具有部署随机、网络拓扑易变化、自组网的特点,使得其定位过程更容易遭受各种攻击。本文提出相应的安全定位算法并通过实验验证了算法的有效性。本文主要包括以下三个方面的工作:(1)针对目前安全定位算法系统开销较大,能够应对的攻击类型较单一的问题,提出了基于信任评估的安全定位算法。该算法将信任管理的原理运用到无线传感网安全定位领域,通过对属性值的选择以及评分实现对节点的信任评估。除此之外对阈值进行讨论保证系统过滤攻击节点的正确率。最终以较低的系统开销剔除了攻击节点保证了系统的安全性。(2)针对在锚节点移动的环境下信任管理系统开销较大的问题,提出了基于动态信任管理的安全定位算法。该算法实现了对于节点的动态信任管理,将信任管理划分为信任初始化阶段、信任建立阶段、信任进化阶段三个阶段。同时将攻击行为抽象为事件通过有限状态机加速信任值迭代过程。最终在锚节点移动的情况下通过快速迭代信任值识别出恶意节点,确保定位过程的安全性。(3)设计并实现了一种自适应的安全定位系统,该系统将基于信任评估的安全定位算法和基于动态信任的锚节点移动安全定位算法进行结合,运用到室内定位系统中。将程序代码烧写到若干节点中,节点部署在10m x 10m的区域进行实验。系统分别在锚节点静止以及锚节点移动两种环境下工作,通过实验对比了一般情况下以及运行本系统的情况下的定位误差,表明本文提出的系统可以有效的识别恶意节点,降低系统开销。综上所述,本文分别针对锚节点静止以及锚节点移动的应用场景提出了基于信任评估的安全定位算法以及基于动态信任评估的锚节点移动安全定位算法。通过仿真实验以及实现的原型系统可知本文提出的算法能够有效抵御攻击行为并且比AR-MMSE等安全定位算法使用的系统资源更少。
[Abstract]:With the rapid development of wireless sensor network, the application based on wireless sensor network extends to many fields, such as environmental monitoring, logistics scheduling, disaster warning and so on. As one of the basic and important technologies, wireless sensor network positioning has been paid more and more attention. Wireless sensor networks (WSNs) have the characteristics of random deployment, network topology changes and ad hoc networks, which make the localization process more vulnerable to various attacks. In this paper, the corresponding security location algorithm is proposed and the effectiveness of the algorithm is verified by experiments. This paper mainly includes the following three aspects: 1) aiming at the problem that the current security localization algorithm has a large system overhead and can deal with a single attack type, a security location algorithm based on trust assessment is proposed. In this algorithm, the principle of trust management is applied to the security location field of wireless sensor network, and the trust evaluation of nodes is realized through the selection of attribute value and the evaluation of the score. In addition, the threshold is discussed to ensure the accuracy of the system filtering attack node. Finally, the attack node is eliminated with lower system overhead to ensure the security of the system. (2) aiming at the problem of high overhead of trust management system in the mobile environment of anchor nodes, a security location algorithm based on dynamic trust management is proposed. The algorithm realizes dynamic trust management for nodes, which is divided into three stages: trust initialization, trust establishment and trust evolution. At the same time, the attack behavior is abstracted as the event accelerates the trust value iterative process through the finite state machine. Finally, when the anchor node moves, the malicious node is identified by fast iterative trust value, which ensures the security of the location process. (3) an adaptive security location system is designed and implemented. The system combines the security location algorithm based on trust assessment and the mobile security location algorithm of anchor node based on dynamic trust, and applies it to the indoor positioning system. The program code is burned to several nodes, and the nodes are deployed in the region of 10m x 10m for experiment. The system works in the static anchor node and the anchor node moving environment respectively. Through the experiment, the positioning error of the system is compared with that of the system, which shows that the system proposed in this paper can identify the malicious node effectively. Reduce system overhead. To sum up, this paper proposes a security location algorithm based on trust assessment and an anchor node mobile security location algorithm based on dynamic trust evaluation for anchor node static and anchor node mobile application scenarios. Through the simulation experiments and the prototype system, we can see that the proposed algorithm can effectively resist the attack behavior and use less system resources than the secure location algorithm such as AR-MMSE.
【学位授予单位】：南京邮电大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP212.9;TN929.5

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