Privacy is becoming one of the most notable challenges threatening wireless sensor networks(WSNs).Adversaries may use RF(radio frequency) localization techniques to perform hop-by-hop trace back to the source sensor&#...Privacy is becoming one of the most notable challenges threatening wireless sensor networks(WSNs).Adversaries may use RF(radio frequency) localization techniques to perform hop-by-hop trace back to the source sensor's location.A multiple k-hop clusters based routing strategy(MHCR) is proposed to preserve source-location privacy as well as enhance energy efficiency for WSNs.Owing to the inherent characteristics of intra-cluster data aggregation,each sensor of the interference clusters is able to act as a fake source to confuse the adversary.Moreover,dummy traffic could be filtered efficiently by the cluster heads during the data aggregation,ensuring no energy consumption be burdened in the hotspot of the network.Through careful analysis and calculation on the distribution and the number of interference clusters,energy efficiency is significantly enhanced without reducing the network lifetime.Finally,the security and delay performance of MHCR scheme are theoretically analyzed.Extensive analysis and simulation results demonstrate that MHCR scheme can improve both the location privacy security and energy efficiency markedly,especially in large-scale WSNs.展开更多
文摘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。
基金Project(2013DFB10070)supported by the International Science & Technology Cooperation Program of ChinaProject(2012GK4106)supported by the Hunan Provincial Science & Technology Program,ChinaProject(12MX15)supported by the Mittal Innovation Project of Central South University,China
文摘Privacy is becoming one of the most notable challenges threatening wireless sensor networks(WSNs).Adversaries may use RF(radio frequency) localization techniques to perform hop-by-hop trace back to the source sensor's location.A multiple k-hop clusters based routing strategy(MHCR) is proposed to preserve source-location privacy as well as enhance energy efficiency for WSNs.Owing to the inherent characteristics of intra-cluster data aggregation,each sensor of the interference clusters is able to act as a fake source to confuse the adversary.Moreover,dummy traffic could be filtered efficiently by the cluster heads during the data aggregation,ensuring no energy consumption be burdened in the hotspot of the network.Through careful analysis and calculation on the distribution and the number of interference clusters,energy efficiency is significantly enhanced without reducing the network lifetime.Finally,the security and delay performance of MHCR scheme are theoretically analyzed.Extensive analysis and simulation results demonstrate that MHCR scheme can improve both the location privacy security and energy efficiency markedly,especially in large-scale WSNs.
