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基于改进蚁群算法的WSN源位置隐私保护
引用本文:郭蕊,芦天亮,杜彦辉,周杨,潘孝勤,刘晓晨.基于改进蚁群算法的WSN源位置隐私保护[J].计算机科学,2020,47(7):307-313.
作者姓名:郭蕊  芦天亮  杜彦辉  周杨  潘孝勤  刘晓晨
作者单位:中国人民公安大学警务信息工程与网络安全学院 北京 100038;中国人民公安大学警务信息工程与网络安全学院 北京 100038;中国人民公安大学警务信息工程与网络安全学院 北京 100038;中国人民公安大学警务信息工程与网络安全学院 北京 100038;中国人民公安大学警务信息工程与网络安全学院 北京 100038;中国人民公安大学警务信息工程与网络安全学院 北京 100038
基金项目:国家重点研发计划;中国人民公安大学 2019 年基本科研业务费重大项目
摘    要:面向目标监测任务的无线传感网(Wireless Sensor Network,WSN)通常部署在无人监管和关键敏感的环境中,无线通信的开放性严重威胁了监测目标的安全性,因此需要对源节点位置隐私进行有效保护。针对现有WSN源位置隐私保护方案普遍存在的高延迟和高能耗问题,提出了一种基于改进蚁群算法的源位置隐私保护方案EESLP-ACA(Energy Efficient Source Location Privacy based on Ant Colony Algorithm)。传感器节点接收到数据包时,将根据信息素浓度和改进的路径启发素含量选择转发节点,以最小化和均衡化网络能耗;同时通过引入参照距离并改进信息素更新机制,增大未选中节点成为转发节点的可能性,构建低概率重复动态路由,减少攻击者能够接收到的数据包数目,增加反向追踪的难度。性能分析表明,所提方案不但能有效提高蚁群算法(Ant Colony Algorithm,ACA)的性能,使其更好地应用于WSN源位置隐私保护领域;而且相较于CDR和ELSP方案,在延长网络生存周期和缩短传输延迟的同时,能有效提升源位置隐私的安全性。

关 键 词:无线传感网  源位置  隐私保护  蚁群算法  动态路由

WSN Source-location Privacy Protection Based on Improved Ant Colony Algorithm
GUO Rui,LU Tian-liang,DU Yan-hui,ZHOU Yang,PAN Xiao-qin,LIU Xiao-chen.WSN Source-location Privacy Protection Based on Improved Ant Colony Algorithm[J].Computer Science,2020,47(7):307-313.
Authors:GUO Rui  LU Tian-liang  DU Yan-hui  ZHOU Yang  PAN Xiao-qin  LIU Xiao-chen
Affiliation:(College of Police Information Engineering and Network Security,People’s Public Security University of China,Beijing 100038,China)
Abstract:Wireless Sensor Network(WSN)oriented to target monitoring tasks is usually deployed in unsupervised,critical and sensitive environments.The openness of Wireless communication seriously threatens the security of monitoring targets,so it is necessary to effectively protect the location privacy of source nodes.Considering the low computational complexity of ant colony algorithm and its unique advantages in path planning,a source location privacy protection scheme based on improved ant colony algorithm EESLP-ACA(Energy Efficient Source Location Privacy based on Ant Colony Algorithm)is proposed.When the sensor node receives the packet,it will select the forwarding node according to the pheromone concentration and the improved path heuristic content to minimize and balance the network energy consumption.At the same time,by introducing the reference distance and improving the pheromone update mechanism,the possibility of the unselected node becoming the forwarding node is increased,and the repeated dynamic route with low probability is constructed to reduce the number of packets an attacker can receive and increase the difficulty of reverse tracking.The performance analysis shows that it not only effectively improves the performance of ant colony algorithm and makes it better applied in the field of WSN source location privacy protection,but also effectively enhances the security of source location privacy while prolonging the network life cycle and shortening the transmission delay compared with CDR and ELSP schemes.
Keywords:Wireless sensor network  Source-location  Privacy protection  Ant colony algorithm  Dynamic route
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