The Dendritic Cell Algorithm for Intrusion Detection

pp. 84-102, Bio-Inspired Communications and Networking, IGI Global, 2011

18 Pages Posted: 17 Sep 2016

See all articles by Feng Gu

Feng Gu

University of Nottingham - School of Computer Science

Julie Greensmith

University of Nottingham - School of Computer Science

Uwe Aickelin

University of Nottingham, Ningbo

Date Written: January 1, 2011

Abstract

As one of the solutions to intrusion detection problems, Artificial Immune Systems (AIS) have shown their advantages. Unlike genetic algorithms, there is no one archetypal AIS, instead there are four major paradigms. Among them, the Dendritic Cell Algorithm (DCA) has produced promising results in various applications. The aim of this chapter is to demonstrate the potential for the DCA as a suitable candidate for intrusion detection problems. We review some of the commonly used AIS paradigms for intrusion detection problems and demonstrate the advantages of one particular algorithm, the DCA. In order to clearly describe the algorithm, the background to its development and a formal definition are given. In addition, improvements to the original DCA are presented and their implications are discussed, including previous work done on an online analysis component with segmentation and ongoing work on automated data preprocessing. Based on preliminary results, both improvements appear to be promising for online anomaly-based intrusion detection.

Suggested Citation

Gu, Feng and Greensmith, Julie and Aickelin, Uwe, The Dendritic Cell Algorithm for Intrusion Detection (January 1, 2011). pp. 84-102, Bio-Inspired Communications and Networking, IGI Global, 2011. Available at SSRN: https://ssrn.com/abstract=2824971

Feng Gu

University of Nottingham - School of Computer Science ( email )

Jubilee Campus
Wollaton Road
Nottingham, NG8 1BB
United Kingdom

Julie Greensmith

University of Nottingham - School of Computer Science ( email )

Jubilee Campus
Wollaton Road
Nottingham, NG8 1BB
United Kingdom

Uwe Aickelin (Contact Author)

University of Nottingham, Ningbo ( email )

199 Taikang East Road
Ningbo, Zhejiang 315100
China

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