一种基于统计异常的无线传感器网络入侵检测方法

A Statistic Anomaly Intrusion Detection Method For WSN

无线传感器网络节点资源有限的特点和通信方式决定了这种网络容易受到攻击。特别在敌对的环境下,如果没有正确的安全措施,敌人会使用各种各样的攻击,阻碍网络正常工作,破坏网络部署的目的。在这篇论文,我们阐述基于统计异常的分布式入侵检测方法,此方法通过节点违反规则的频率来判断入侵行为,能有效检测预防网络内外的敌人攻击。

WSN （Wireless Sensor Networks） are vulnerable to security attacks due to the communication nature and limited computation capabilities of the sensor nodes. Without proper security measure, an enemy can launch various kinds of attacks in hostile environments. These attacks disrupt the normal working of WSN and can defeat the purpose of their deployment. In this paper, we present a distributed intrusion detection method based on statistic anomaly theory that detects intrusion behavior by frequency which one node violates rules. The method can be used to improve security from both external and internal adversaries.