Improving Prediction of Intrusion Detection of Network Attacks by Computing Clustering & Classification

Download Now
Provided by: IJAIR
Topic: Security
Format: PDF
IDS which are increasingly a key part of system defense are used to identify abnormal activities in a computer system. In general, the traditional intrusion detection relies on the extensive knowledge of security experts, in particular, on their familiarity with the computer system to be protected. One of the primary challenges to intrusion detection is the problem of misjudgment, misdetection and lack of real time response to the attack. In this paper, intrusion detection is achieved using various data mining techniques and suggest that a combination of both approaches has the potential to detect intrusions in networks more effectively.
Download Now

Find By Topic