Hybrid Intrusion Detection Systems Hids Using Fuzzy Logic

The rapid growth of the computers that are interconnected, the crime rate has also increased and the ways to mitigate those crimes has become the important problem now. In the entire globe, organizations, higher learning institutions and governments are completely dependent on the computer networks which plays a major role in their daily operations. Hence the necessity for protecting those networked systems has also increased. Cyber crimes like compromised server, phishing and sabotage of privacy information has increased in the recent past. It need not be a massive intrusion, instead a single intrusion can result in loss of highly privileged and important data. Intusion behaviour can be classified based on different attack types. Smart intruders will not attack using a single attack, instead, they will perform the attack by combining few different attack types to deceive the detection system at the gateway. As a countermeasure, computational intelligence can be applied to the intrusion detection systems to realize the attacks, alert the administrator about the form and severity, and also to take any predetermined or adaptive measures dissuade the intrusion.