Critical analysis of genetic algorithm based IDS and an approach for detecting intrusion in MANET using data mining techniques
Isha Shingari · IOSR Journal of Computer Engineering · 2012
Intrusion can be defined as any action which leads to the compromise of availability, confidentiality or integrity of the system.Intrusion detection system is the mechanism which detects those malicious actions and takes the appropriate security actions.Due to the varied number of network behaviors and the rapid development of attack fashions, it has become essential to use the fast machine-learning-based intrusion detection algorithms with high detection rates and low false-alarm rates.Most of the Intrusion Detection Systems (IDSs) are rule based.In this paper, we have explained genetic algorithm approach to the intrusion detection system.Similarly the data mining approach in intrusion detection is also explained.Both the approaches are analyzed with their respective merits and demerits.The principles behind intrusion detection in MANET (Mobile Adhoc Networks) have also been given.A hybrid approach has also been proposed which considers the principles of the various IDSs.An imperative study of the various intrusion detection systems has been proposed.