Network Intrusion Detection based on attack pattern

Intrusion Detection system becomes the one of the favorite research topic due to its capability of detecting various network attacks. There are many works done in the field of intrusion detection up till now. In this paper we are proposing the pattern based Intrusion Detection model. This system is based on CIDF architecture. The Pattern based Intrusion Detection model consist of five modules: Capture Module, Decode Module, Detection Module, Known Attack Pattern Module and Action Module. A pattern based IDS monitor packets on the network and compares them against a database of known attack pattern of malicious threats. Our paper focuses on the packet sniffer and its working, various attacks on network as an intrusion and their detection using pattern based IDS.