A Novel Approach to Improve Detection Rate and Search Efficiency of NIDS
Information is an important asset in an organization which has large amount of personal and critical data with it. Protecting that information from attacks should be the main goal when security is concerned. Signature based Network Intrusion Detection System (NIDS) applies a set of rules to identify the traffic and classify known attacks by comparing with the signature. As the detection rate and speed of searching for signature in NIDS have two main aspects, this paper gives data mining approve to improve on detection rate and the authors use an algorithm to use the known signature to find the signature of the related attack quickly.