Intrusion Detection and Prevention System
Internet provides hugs information and value to the users but at the same time, access to the internet is prone to
increasing numbers of attacks. Due to vulnerabilities in the network system, protecting network from malicious activities is
prime concern today. Tracing the source of the attacking packet is very difficult because of stateless and destination based
routing infrastructure of internet. If the attacks are deleted successfully, then preventive measures for attacks can be taken.
Intrusion prevention systems are designed based on the assumption threat the behavior of an intruder is different from a
normal user. This paper describes an information sources for intrusion-detection. Combined features of network based
intrusion systems, statistical data correlation techniques counteract the rapidly evolving threats presented by the latest
generation of warms, software, and network exploits. We propose an intrusion prevention model incorporating features of
intrusion detection, prevention and data mining with data correction.
Index terms - Intrusion Detection and Prevention System (IDPS), Internet Service Provider (IPS), Wired Equivalent