Data Mining Based Network Intrusion Detection and Prevention System

Intrusions in computing environment are a very common undesired malicious activity that is going on since the inception of computing resources. A number of security measures have taken place for the last three decades, but as Technology has grown up, so as the security threats. With the whole world depending on computers, being directly or indirectly, it is a very important issue to prevent the malicious activities and threats that can hamper the computing infrastructures. From a security standpoint, network security should be a high priority when considering a network setup due to the growing threat of hackers trying to infect as many computers as possible .Our concern revolve around the user traffic NIDPS is the process of identifying and responding to malicious activity targeted at computing and networking resources using Data Mining technique to rectify the intruder in network. The user can deploy our approach into the system to assure a secured intrusion free environment. In this paper, we shall discuss the technologies in details, their functionality, their performances and their effectiveness to stop the malicious activity over a computer network.