期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2013
卷号：4
期号：8-4
出版社：Seventh Sense Research Group
摘要：Intrusion is a deliberate unauthorized access, attempt, misuse or damage to some valuable data. Intrusion Detection Systems (IDS) are used to detect and report the intrusions for the computer systems and for the computer networks. IDS analyses the data or traffic and classifies the behavior of the particular host and a network into the normal or the suspicious activity. This paper compares the performance of the host based and the network based intrusion detection systems implemented using the Fuzzy Genetic approach. System log files are used as the dataset for the host based intrusion detection (HIDS) and NSLKDD dataset is used for the network based intrusion detection (NIDS). Simulation results reveal that HIDS detects the normal behavior as well as the anomalous behavior better than NIDS.
