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无线局域网MAC层DOS攻击是很容易发起的,传统的方法并不能很好的除掉这些攻击源。为了检测并解决MAC层的这几种DOS攻击,提出利用无线节点的接收信号强度(RSS)来对攻击者进行检测并定位,RSS是一种与无线节点空间位置相关且很难被伪造的物理属性。我们的模型是通过改进的凝聚层次聚类分析的算法模型来对攻击进行检测,并通过路径损耗模型和指纹数据库模型相结合的方法来对攻击者进行定位。在一个真实的办公楼里,我们通过IEEE 802.11网络条件下的测试平台评估了我们的模型,实验结果表明我们的攻击检测模型可以对基于MAC层的DOS攻击进行检测并定位,并能达到可观的精度。
Wireless LAN MAC layer DOS attacks are very easy to launch, the traditional method does not well get rid of these sources of attack. In order to detect and solve these DOS attacks in the MAC layer, it is proposed to detect and locate attackers by using received signal strength (RSS) of wireless nodes. RSS is a physical entity that is related to the spatial location of wireless nodes and is hard to be forged Attributes. Our model is to detect the attack through an improved algorithm model of cohesive hierarchical clustering analysis, and to locate attackers through a combination of path loss model and fingerprint database model. In a real office building, we evaluated our model with a test platform under IEEE 802.11 network conditions. The experimental results show that our attack detection model can detect and locate DOS attacks based on the MAC layer and achieve considerable Accuracy.