Abstract: An Intrusion Detection System is now an inevitable part of any computer network. There is a high increase in the type of attacks including new and earlier unseen attacks. An Intrusion Detection System must reliably detect malicious activities in a network and must perform efficiently to cope with the large amount of network traffic. In this system, PCA algorithm is used for feature selection. PCA is employed to reduce the high dimensional data vectors and thus, detection is handled in a low dimensional space with high efficiency and low use of system resources. Then, the Layered approach is introduced for identifying the attack which has less computational overheads. Thus, the new system addresses the two issues namely accuracy and efficiency. Thus, the system is robust and is able to handle noisy data without compromising the performance. The advantage of the system is that has reduced the computation time and false alarm rate.
B. Ben Sujitha and V. Kavitha, 2013. Enhancing Intrusion Detection Using Layered Approach with PCA. Asian Journal of Information Technology, 12: 70-76.