Title :
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
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;
Conference_Titel :
Computers and Communications, 2009. ISCC 2009. IEEE Symposium on
Conference_Location :
Sousse
Print_ISBN :
978-1-4244-4672-8
Electronic_ISBN :
1530-1346
DOI :
10.1109/ISCC.2009.5202379
