Application of Improved Genetic Algorithm in Reliability Optimization of Multi-agent Intrusion Detection

DOI

10.2991/emeit.2012.514How to use a DOI?

Keywords

Improved Genetic Algorithm, Reliability Optimization of Multi-agent Intrusion Detection, Application.

Abstract

Detection agents in a dynamic network environment has difficult to optimize the reliability , and this problem is a typical Nondeterministic Polynomial Completeness puzzle.This paper proposed an improved genetic algorithm to solve the optimization problem, conscientiously introduced the greedy algorithm, and therefore better improved the efficiency of algorithm optimization algorithms in the optimization process. First, construct a mathematical model, multi-agent intrusion detection system between agents as the initial parameters.Then, use the improved genetic algorithm to optimize the model obtained optimal solution to complete optimization objectives.

Copyright

© 2012, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Shaokun Liu
AU  - Lina Yu
AU  - Yi Fang
PY  - 2012/09
DA  - 2012/09
TI  - Application of Improved Genetic Algorithm in Reliability Optimization of Multi-agent Intrusion Detection
BT  - Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
PB  - Atlantis Press
SP  - 2317
EP  - 2320
SN  - 1951-6851
UR  - https://doi.org/10.2991/emeit.2012.514
DO  - 10.2991/emeit.2012.514
ID  - Liu2012/09
ER  -