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
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;
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
DOI :
10.1109/TrustCom.2011.20
