A Cost-Sensitive-based Forensic-Oriented Intrusion Detection Mechanism Using Genetic Algorithm in Wireless Networks

摘要：

Forensic-oriented Intrusion Detection Systems (IDS) need to maximize security and at the same time reduce the cost. We briefly discuss the factors in IDS and some cost model applied in IDS. In this paper, we present a genetic algorithm (GA) for generating efficient rules for cost-sensitive detection mechanism in forensic-oriented intrusion detection systems in wireless network environment. Although genetic algorithm (GA) technique has been applied to general classification to our knowledge, it has not been exploited to address cost-sensitive classification in the literature, where the costs of misclassification errors are non-uniform. The GA is implemented and evaluated on the KDDCup 99 dataset. This method is comparable to the winners of the KDDCup 99 competition.

关键词： forensic-oriented cost-sensitive intrusion detection systems wireless networks

作者: Wenming Shi Zhihua Cai Chuanhe Huang Zhao Ma Ying Long Zhe Chen

作者单位: School of Computer Science, Wuhan University, China, 430072; School of Computer Science, China Unive School of Computer Science, China University of Geosciences, China 430074 School of Computer Science, Wuhan University, China, 430072 School of Computer Science, China University of Geosciences, China, 430074 ;School of Computer Scien School of Computer Science, China University of Geosciences, China, 430074 School of Computer Science, Wuhan University, China 430072 ; School of Computer Science, China Unive

会议类型: 国际会议

会议名称: The Second International Symposium on Intelligence Computation and Applications(ISICA 2007)(第二届智能计算及其应用国际会议)

会议地点: 武汉

会议语种:英文

在线出版日期: 2007-09-21（万方平台首次上网日期，不代表论文的发表时间）