WEB日志中基于KNN算法的注入式攻击行为检测方法研究  

Research on Injection Attacks Behavior Detection Method Based on KNN Algorithm

作　　者：王恒[1] 

机构地区：[1]宁夏大学网络管理中心,宁夏银川750021

出　　处：《宁夏大学学报（自然科学版）》2009年第3期248-250,共3页Journal of Ningxia University(Natural Science Edition)

基　　金：国家科技支撑计划项目(2007BAD33B05)

摘　　要：阐述了注入式攻击及KNN算法的相关概念并探讨了注入式攻击行为检测与文本分类技术的关系.结合KNN算法的优点及注入式攻击行为检测与文本分类的相似性,提出了Web日志中基于KNN算法的注入式攻击检测方法,给出了其计算模型,并进行了检测对此.结果表明,该方法具有良好的检测准确度.This paper elaborates the concepts related to injection attacks and KNN algorithm,discusses the relationship between injection attacks detection and text classification technology.Combining the advantages of KNN algorithm,as well as the similarity between injection attacks detection and text classification,the injection attacks detection method based on KNN algorithm of Weblog is proposed,the calculation model is given and detected by comparison.The results show that the method has good detection accuracy.

关 键 词：KNN算法 注入式攻击 行为检测 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]