Artificial Immune System Based Frameworks and Its Application in Cyber Immune System: A Comprehensive Review

Abstract

Computer science has always mixed the concepts of biology and computers to enhance the way in which systems are designed. Artificial Immune System (AIS) is a Computational Intelligence strategy dependent on an organically enlivened computational system that can be utilized for taking care of complex computational issues. It tends to be seen that AIS is an incredibly various locale of research, going from the modeling immune systems to complex algorithms for specific applications. This paper exhibits an exhaustive survey of different frameworks developed in the artificial immune system and its application. Reviews of frameworks in AIS are uncommon and henceforth this paper gives an inside out audit of progressing research and challenges in AIS. We start by presenting AIS and give a thorough survey of different systems in AIS and its application in anomaly detection. We investigate the utilization of AIS in the Intrusion Detection System named the Cyber Immune System(CIS) and compares various AIS works applied to CIS. We conclude with various future extensions in the area of AIS research.

Enhanced AIS Based Intrusion Detection System Using Natural Killer Cells

“…Many works reviewed in the literature lack such a fully autonomous environment. Many ids lack the concept of response time [5] which is very much important in giving a proper reply for an intrusion. So the proposed paper deals with a design that in fully autonomous in nature and has high accuracy as well as quick response time.…”

“…Intrusion Detection system is such a complex task. So system using distributed agents based on AIS is fast becoming the part and parcel of IDS design [5].…”