Review on Intrusion Detection Using Fuzzy ARTMAP with Feature Selection Technique

Considerable research work have been conducted towards Intrusion Detection Systems (IDSs) as well as feature selection. IDS guard a system from attack, misuse, and compromise. It can also screen network activity. Network traffic observing and extent is increasingly regarded as an vital role for understanding and improving the performance and security of our cyber infrastructure. In this research we have proposed framework by using advance feature selection technique & by using dimensionality reduction technique we can reduce IDS data then applying Fuzzy ARTMAP classifier we can find intrusions so that we get accurate results within less time. This technique is very efficient as it saves time as well as storage space.