Security Attack Detection using Genetic Algorithm (GA) in Policy Based Network

Author

Islam, A.B.M. ; Azad, Ariful ; Alarm, K. ; Alam, Khurshid

Author_Institution

Bangladesh Univ. of Eng. & Technol., Dhaka

fYear

2007

fDate

7-9 March 2007

Firstpage

341

Lastpage

347

Abstract

We present a modern approach of detecting the computer network security attacks (commonly termed as "hacks") by using an artificial intelligence method known as a genetic algorithm, which is a variant of stochastic beam search, which can be applied to a Policy Based Network. For this experiment, we develop the corresponding form of genetic algorithm and the form of fitness function to detect security attacks. Then we test the algorithm by a simulation program in TC (Turbo C) to gauge its effectiveness and the side effects of its execution. Finally, we give the indication for the necessary change in policy framework to deploy the functionality.

Keywords

computer networks; genetic algorithms; search problems; security of data; stochastic processes; telecommunication security; artificial intelligence; computer network; genetic algorithm; policy based network; security attack detection; simulation program; stochastic beam search; Computer hacking; Computer networks; Computer science; Computer security; Convergence; Electronic mail; Genetic algorithms; Genetic engineering; Genetic mutations; Information security; Accuracy factor; Crossover; False Negative Count; False Positive Count; Fitness function; Genetic Algorithm; Mutation; Policy framework; Policy rules; Population;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Communication Technology, 2007. ICICT '07. International Conference on

Conference_Location

Dhaka

Print_ISBN

984-32-3394-8

Type

conf

DOI

10.1109/ICICT.2007.375407

Filename

4261430