ARTIFICIAL IMMUNE SYSTEM BASED INTRUSION DETECTION SYSTEMS-A COMPREHENSIVE REVIEW
Journal: International Journal of Computer Engineering and Technology (IJCET) (Vol.8, No. 1)Publication Date: 2017-1-1
Authors : BEJOY B J; JANAKIRAMAN S;
Page : 85-95
Keywords : Intrusion Detection Systems; Artificial Immune Systems; Clonal Selection; Negative Selection; Danger Theory; Immune Network Algorithm; Natural Killer Cells;
Abstract
Intrusion Detection System (IDS) helps us to identify the abnormalities and attacks that can affect the confidentiality, integrity, and availability of the system or network. IDS has a close connection with the processes and mechanisms of Human Immune Systems(HIS) which helps to identify pathogens that can cause harmful diseases in human beings. So it is obvious that mechanisms inspired by HIS can be used in IDS also whose primary function is to detect malicious packets. Artificial immune systems(AIS) thus comes into effect mimicking the processes used by HIS to detect and avoid harmful pathogens. This paper gives a modest insight into intrusion detection techniques that are based on AIS.The works discussed here mainly concentrates on distributed agent based systems. The commonly used algorithms in AIS based IDS is collated and the limitations of existing work as well as future directions in this aspects are discussed.
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Last modified: 2017-12-23 18:04:27