无线传感器网络中的定位异常检测

在无线传感器网络中位置信息有着重要应用,但是定位过程容易受到恶意攻击者的攻击或环境因素的干扰。为了增加节点定位的安全性。本文提出一种基于节点部署模型的检测方法用来提高定位的安全性能,该方法独立于节点定位过程,根据节点位置的邻居发现和部署知识的一致性判断节点位置是否异常。在具体的异常判断过程中使用一种由马氏距离定义差异矩阵作为比较工具。最后通过Matlab仿真实验分别从检测率,错误警报率两个方面评估验证了该方法的正确性。

Localization anomaly detection in wireless sensor networks

The position information has important app;ications in wireless sensor networks.But localization can be interfered by environmental factors or attacked by malicious attacker very easily.In order to increase the security of node localization.The paper describes a detection method based on deployment knowledge, which can greatly improve security performance of localization.Localization abnormalities are estimated by the consistency of node location and deployment knowledge,independent of node localization process.The level of inconsistency is measured by Mahalanobis distance.The effectiveness of this method has been proven by Matlab simulation results from both detection rate and fault alarm rate.