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An Improved Artificial Immune System-Based Network Intrusion Detection by Using Rough Set
2012
Communications and Network
With the increasing worldwide network attacks, intrusion detection (ID) has become a popular research topic in last decade. Several artificial intelligence techniques such as neural networks and fuzzy logic have been applied in ID. The results are varied. The intrusion detection accuracy is the main focus for intrusion detection systems (IDS). Most research activities in the area aiming to improve the ID accuracy. In this paper, an artificial immune system (AIS) based network intrusion
doi:10.4236/cn.2012.41006
fatcat:uw2rtc35lvavla5irox6edkwye