A Unified Approach for Real Time Intrusion Detection Using Intelligent Data Mining Techniques
In the recent days, there is a rapid increase in the usage of intelligent data mining approaches to predict intrusion in local area networks. In this paper, an approach for Intrusion Detection System (IDS) which embeds an expert system making data mining technique behave intelligently is proposed. Intrusion Detection System (IDS) is considered as a system integrated with intelligent subsystems, which completes the distributed solution procedure on the basis of exchanging large data and information. Any intelligent process self regulates and self-controls itself in the event of intrusion. The system however requires complete information of the intrusion mechanisms and generates appropriate decisions for preventing from further attacks.