【摘要】 针对传统入侵检测方法检测效率低、自适应能力相对较差的弊端,提出一种新的非理性信道下无线局域网络的高效自适应入侵检测方法,介绍了非理性信道的特点。通过添加相关步骤实现人机交互功能,在不用人为控制条件下获取理想聚类结果。阐述了入侵检测方法的一般过程,给出自适应入侵检测方法的流程图,介绍了动态自适应模板检测方法和ISODATA (iterative self-organizing data analysis techniques algorithm)方法的详细运算过程。通过比较入侵对象与原有模板间的相似度,将距离最近或者相关度最大的入侵对象划分到一类,对原有模板不断更新,添加新模板完成对非理性信道下无线局域网络入侵对象的检测。实验结果表明,所提方法效率高、精度高、自适应能力强,可以有效地实现非理性信道下无线局域网络入侵检测,保障了无线局域网络的安全性。更多还原

【Abstract】 In view of the drawbacks of the traditional intrusion detection methods,such as low detection efficiency and poor adaptive ability,a new efficient adaptive intrusion detection method for wireless local area networks under irrational channels is proposed. The characteristics of non rational channel was introduced,by adding relevant steps to achieve human-computer interaction function,obtain the ideal clustering results in not artificially controlled conditions. The general process of the intrusion detection method was described,adaptive flow chart of intrusion detection method. The dynamic operation process with adaptive template detection method and iterative self-organizing data analysis techniques algorithm(ISODATA) method were described,through compared with the original template object similarity intrusion,will the nearest or intrusion object is most divided into a class,the update of the original template,add a new template to detect the non rational channel of wireless local area network intrusion object. The experimental results show that the proposed method is efficient,accurate and adaptive. It can effectively realize the detection of wireless local area networks under the irrational channel,and ensure the security of wireless local area networks.更多还原