基于汇聚度的传感器网络Sinkhole攻击检测

Sinkhole Attack Detection in Sensor Networks Based on Convergence Degree

传感器网络以数据为中心的特殊流量汇聚模式尤其易受Sinkhole攻击。通过分析Sinkhole攻击点邻近区域的路由特点,提出一种新颖的基于汇聚度检测Sinkhole攻击的策略。该策略无需运行密码算法,无需额外通信开销,适用于不同网络部署密度、信道质量及攻击强度下的攻击检测。

Sensor networks which are data-centric networks with special flow convergence pattern are highly vulnerable to the Sinkhole attack. On the analysis of routing feature in the neighboring region of Sinkhole attack point, a novel detection strategy of Sinkhole attack based on convergence degree is proposed. Without any cryptographic algorithms and additional communication cost, the strategy is suitable for various network deployment density, different channel condition and attack power.