中文摘要：

通过对IEEE802．11MAC层攻击的分析与分类，提出将节点传帧率和退避时间序列作为行为特征，建立了MAC层攻击检测的人工免疫模型，给出饱和状态下的节点检测算法一基于滑动窗口残差阈值法，并对自私节点的退避时间序列进行编码和基因处理，给出非饱和状态下基于相对位置的子串相关函数匹配的基因检测算法，解决了传统检测算法不能有效检测智能攻击和与现有协议不兼容的局限性．

英文摘要：

The paper uses frame rate together with back-off time as nodes＇ behavior characteristic by analyzing and classifying the MAC layer attack of IEEE 802.11 protocols, sets up artificial immune modeling of MAC layer attack detection. The nodes in saturation status employ residual error threshold algorithm based on slide window to detect selfish attack node, further more encodes the selfish nodes＇ back-off time sequence and transfer it into gene detector which is employed by the node in non-saturation status to detect attack behavior based on relative position sub-string correlation function matching algorithm. So the paper resolves the localization of traditional detection algorithm which can＇t detect availably smart attack or incompatible with current 802.11 protocols.