A new genetic algorithm approach for intrusion response system in computer networks

Author

Fessi, B.A. ; Benabdallah, S. ; Hamdi, M. ; Boudriga, N.

Author_Institution

Commun. Networks & Security Res. Unit (CN&S), Univ. of 7th of November, Carthage, Tunisia

fYear

2009

fDate

5-8 July 2009

Firstpage

342

Lastpage

347

Abstract

This paper deals with a combination of work in the fields of artificial intelligence and computer security. It describes a decision model based on a new genetic algorithm approach for intrusion response system (NGAA-IRS). A brief survey of intrusion detection and response system (IDRS), genetic algorithm (GA), and its application to IDRS are presented. Then, the proposed model, parameters and evolution process for GA are discussed in details. The model is characterized by a new implementation of individual structure based on a matrix of response-resource entries and a fitness function based on cost benefit approach for selecting the appropriate solution. These features are specific to NGAA-IRS model and do not be used in other implementations beforehand.

Keywords

artificial intelligence; genetic algorithms; security of data; artificial intelligence; computer networks; computer security; cost benefit approach; fitness function; genetic algorithm; intrusion detection and response system; intrusion response system; response-resource entries; Artificial intelligence; Communication networks; Communication system security; Computer networks; Computer security; Decision making; Genetic algorithms; Humans; Information systems; Intrusion detection; Genetic algorithms; Intrusion detection; Intrusion response;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers and Communications, 2009. ISCC 2009. IEEE Symposium on

Conference_Location

Sousse

ISSN

1530-1346

Print_ISBN

978-1-4244-4672-8

Electronic_ISBN

1530-1346

Type

conf

DOI

10.1109/ISCC.2009.5202379

Filename

5202379