Title :
Intrusion detection in computer networks using tabu search based fuzzy system
Author :
Mohamadi, Hamid ; Habibi, Jafar ; Saadi, Hamid
Author_Institution :
Dept. of Comput. Eng., Sharif Univ. of Technol., Tehran
Abstract :
The process of scanning the events occurring in a computer system or network and analyzing them for warning of intrusions is known as intrusion detection system (IDS). This paper presents a new intrusion detection system based on tabu search based fuzzy system. Here, we use tabu search algorithm to effectively explore and exploit the large state space associated with intrusion detection as a complicated classification problem. Experiments were performed on KDD-Cup99 data set which has information about intrusive and normal behaviors on computer networks. Results show that the proposed method obtains notable accuracy and lower cost in comparison with several renowned algorithms.
Keywords :
fuzzy set theory; pattern classification; search problems; security of data; state-space methods; KDD-Cup99 data; classification problem; computer networks; fuzzy system; intrusion detection system; state space; tabu search algorithm; Artificial immune systems; Artificial neural networks; Computer networks; Data mining; Fuzzy systems; Genetics; Humans; Intrusion detection; Knowledge based systems; Pattern classification; Fuzzy Rule Extraction; Intrusion Detection; Pattern Classification; Tabu Search;
Conference_Titel :
Cybernetic Intelligent Systems, 2008. CIS 2008. 7th IEEE International Conference on
Conference_Location :
London
Print_ISBN :
978-1-4244-2914-1
Electronic_ISBN :
978-1-4244-2915-8
DOI :
10.1109/UKRICIS.2008.4798941
