Volume 15 - Issue 3
An Intrusion Detection System for Network Security Using Artificial Immune System
Abstract
Intrusion Detection Systems (IDS) are security technologies for monitoring, detecting, and responding to unauthorized activities. The similar security mechanisms between human and computer system lead to a research on bio-inspired techniques for network security. Intrusion detection system is the prime approach used for saving system intruders. We consider, Artificial Immune System (AIS) techniques an appealing approach for designing IDS which provides distributed detection through its lymphocytes. In this paper, an AIS based intrusion detection is proposed in which negative selection algorithm is used for the selection of detectors which are the antibodies who mainly play the role of detecting the intruders.
Paper Details
PaperID: 191049
Author's Name: Juniorika Lyngdoh and Hemanta Kumar Kalita
Volume: Volume 15
Issues: Issue 3
Keywords: Intrusion Detection, Artificial Immune System, Negative Selection Algorithm, Antibodies, Pathogens, Detectors.
Year: 2019
Month: May
Pages: 67-78