基于LEACH的防御流量分析攻击算法研究

Protecting against traffic analysis attacks in wireless sensor networks based LEACH

为了解决流量分析攻击对LEACH无线传感器网络基站的威胁,针对速率监控攻击与ID分析攻击提出了两种防御算法,即随机热区算法(random hot spots algorithm,RHSA)与匿名通信算法(anonymous communication algorithm,ACA)。在RHSA中,通过随机选择"伪装基站"与发送"伪装包"节点,使网络随机出现若干个伪装"热区"掩护基站;ACA算法主要通过动态产生的匿名隐藏所有参与通信节点的真实ID。仿真结果表明,在速率监控与ID分析攻击下,RH-SA与ACA能够有效的迷惑攻击者,保护基站位置信息。

Traffic analysis attacks threaten the safety of base stations in wireless sensor networks based LEACH routing protocol. To solve problems of the rate monitoring attack and the ID analysis attack, two new protecting algorithms are proposed, which is the random hot spots algorithm （RHSA） and the anonymous communication algorithm （ACA）. RHSA makes a net- work generate several fake local high data sending rate areas, called hot spots randomly to protect a base station by randomly selecting sensor nodes as fake base stations and the nodes which sending fake packets. ACA is to hide identities of all nodes that participate in packets transmission by generating pseudonyms dynamically. Simulation results show that RHSA and ACA can deceive and misdirect an adversary, the location of a base station is disguised against a rate monitoring or ID analysis attack.