Artificial Immune Systems in Local and Network Cybersecurity: An Overview of Intrusion Detection Strategies

Abstract

In this paper, an overview of artificial immune systems (AIS) used in intrusion detection systems (IDS) is provided, along with a review of recent efforts in this field of cybersecurity. In particular, the focus is on the negative selection algorithm (NSA), a popular, prominent algorithm of the AIS domain based on the human immune system. IDS offer intrusion detection capabilities, both locally and in a network environment. The paper offers a review of recent solutions employing AIS in IDS, capable of detecting anomalous network traffic/breaches and operating system file infections caused by malware. A discussion regarding the reviewed research is presented with an analysis and suggestions for further research, and then the work is concluded.