Intrusion Detection System Using Decision Tree Algorithm

摘要：

　　Intrusion Detection System (IDS) is the most powerful system that can handle the intrusions of the computer environments by triggering alerts to make the analysts take actions to stop this intrusion.IDS’s are based on the belief that an intruders behavior will be noticeably different from that of a legitimate user.A variety of intrusion detection systems (IDS) have been employed for protecting computers and networks from malicious attacks by using traditional statistical methods to new data mining approaches in last decades.However,todays commercially available intrusion detection systems are signaturebased that are not capable of detecting unknown attacks.In this paper we analyze a classification model for misuse and anomaly attack detection using decision tree algorithm.

关键词： Intrusion Detection System KDD Dataset Network Security Decision Tree Algorithm

作者: Manish Kumar Dr.M.Hanumanthappa

作者单位: Asst. Professor, Dept.of Master of Computer Applications,M.S.Ramaiah Institute of Technology, Bangal Dept.of Computer Science and Applications,Jnana Bharathi Campus, Bangalore University,Bangalore-5600

会议类型: 国际会议

会议名称: 2012 IEEE 14th International Conference on Communication Technology(2012年第十四届通信技术国际会议(ICCT 2012))

会议地点: 成都

会议语种:英文

页码: 706-711

在线出版日期: 2012-11-09（万方平台首次上网日期，不代表论文的发表时间）