期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：3
DOI：10.15680/ijircce.2015.0303139
出版社：S&S Publications
摘要：In the last decades, there has been a massive growth in network connectivity between computer systemwhich has achieved boundless potential outcomes and opportunities. Sadly, security related issues have likewiseexpanded at the same rate. Computer systems become victims of such attacks. These attacks or intrusions are modifiedinformation that cause harm to the working system program or application programs, typically read or alter private dataor render the system futile. Several techniques are used to prevent and detect such attacks or intrusions. This paperpresents an efficient GA based methodology to produce the classification rules for Network intrusion detection system.The chromosome structure has been selected by applying enumeration technique in which the computational timerequired to produce the population is significantly reduced and near optimal rules are generated. These classificationrules are used to find networking attacks or intrusions. The proposed system is applied on KDDCup99 Dataset to yieldmore efficient and effective classification rules.
关键词：Intrusion Detection System (IDS); Genetic Algorithm (GA); Enumeration Technique; KDDCup99;Dataset.
