期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2015
卷号：4
期号：11
页码：4195-4197
出版社：Shri Pannalal Research Institute of Technolgy
摘要：There are many approaches for Intrusion Detection, HIDS and NIDS are two prime approaches and all other approaches are subpart of HIDS and NIDS. Host based Intrusion Detection System and Network based Intrusion Detection System have many approaches, Stronger security methods like security methods such as advanced encryption algorithms, efficient authentication process, System call based Intrusion Detection are some of the Efficient approaches. Despite all these approaches cyber security need to be upgraded because Anomaly based Intrusion are undetected, they are dynamic in nature. So the approaches to detect these attacks should be sequential as well as random. Haste makes waste so fast and inefficient algorithms have no use. It should be secure first and second it should be fast. In this paper we will use fuzzy technique with genetic selection process to reduce data and SVM (Support Vector Machines). SVM will classify the data to identify Intrusion.
