Universiti Teknologi Malaysia Institutional Repository

Improved hybrid intelligent intrusion detection system using AI technique

Shanmugam, Bharanidharan and Idris, Norbik Bashah (2007) Improved hybrid intelligent intrusion detection system using AI technique. Neural Network World, 17 (4). pp. 351-362. ISSN 1210-0552

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Abstract

Intrusion detection systems are increasingly a key part of systems defense. Various approaches to intrusion detection are currently being used, but they are relatively ineffective. Artificial Intelligence plays a driving role in security services. This paper proposes a dynamic model of intelligent intrusion detection system, based on a specific AI approach for intrusion detection. The techniques that are being investigated include fuzzy logic with network profiling, which uses simple data mining techniques to process the network data. The proposed hybrid system combines anomaly and misuse detection. Simple fuzzy rules allow us to construct if-then rules that reflect common ways of describing security attacks. We use DARPA dataset for training and benchmarking

Item Type:Article
Additional Information:Web of sciences
Uncontrolled Keywords:intrusion detection; network security; data mining; fuzzy logic; attribute selection
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Mechanical Engineering
ID Code:7128
Deposited By: Ms Zalinda Shuratman
Deposited On:23 Dec 2008 01:55
Last Modified:19 Nov 2010 10:09

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