期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：3
页码：2040-2042
出版社：TechScience Publications
摘要：IDS play an important role in network security. Most of the current intrusion detection systems are signature based systems. Signature based IDS also known as misuse detection looks for a specific signature to match, signaling an intrusion. Provided with the signatures or patterns they can detect many or all known attack patterns but they are of little use for as yet unknown attacks. Rate of false positives is close to nil but these types of systems are poor at detecting new attacks or variation of known attacks or attacks that can be masked as normal behavior. This paper presents a modified classification technique for the efficient intrusion detection system. The method is based on the concept of decision tree. The experimental results have proved that the accuracy of the proposed technique is better then the existing techniques.
