Kernelized Extreme Learning Machine with Levenberg-Marquardt Learning Approach towards Intrusion Detection
Network and system security is of vital importance in the present data communication environment. Hackers and intruders can create many successful attempts to cause the crash of the networks and web services by unauthorized intrusion. New threats and associated solutions to prevent these threats are emerging together with the secured system evolution. Intrusion Detection Systems (IDS) are one of these solutions. The main function of Intrusion Detection System is to protect the resources from threats. It analyzes and predicts the behaviors of users, and then these behaviors will be considered an attack or a normal behavior. There are several techniques which exist at present to provide more security to the network, but most of these techniques are static.