DocumentCode
2897668
Title
A Charged PSO Inspired Method for Generating Immune Detectors for Network Intrusion Detection
Author
Heydenrych, Mark ; Ehlers, Elize
Author_Institution
Acad. of Comput. Sci. & Software Eng., Univ. of Johannesburg, Johannesburg, South Africa
fYear
2011
fDate
16-18 Nov. 2011
Firstpage
134
Lastpage
141
Abstract
This paper will present a method for generating immune detectors inspired by the working of charged particle swarm optimisation and negative selection in the artificial immune system. The paper will also test the efficiency of the proposed method against a benchmark in order to prove that the proposed method is superior to stochastic generation.
Keywords
particle swarm optimisation; security of data; stochastic processes; artificial immune system; charged PSO inspired method; generating immune detectors; immune detectors; network intrusion detection; particle swarm optimisation; stochastic generation; Detectors; Equations; Force; Immune system; Mathematical model; Particle swarm optimization; Vectors; immune; negative selection; network intrusion detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Trust, Security and Privacy in Computing and Communications (TrustCom), 2011 IEEE 10th International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-4577-2135-9
Type
conf
DOI
10.1109/TrustCom.2011.20
Filename
6120812
Link To Document