INTRUSION DETECTION SYSTEM USING NEURO FUZZY, LOCATION PRIVACY AND ENTROPY BASED NETWORK SECURITY

Abstract

Intrusion Detection System (IDS) defined as a Device or software application which monitors the network or system activities and finds if there is any malicious activity occur. Outstanding growth and usage of internet raises concerns about how to communicate and protect the digital information safely. In today’s world hackers use different types of attacks for getting the valuable information. Many of the intrusion detection techniques, methods and algorithms help to detect those several attacks. This paper proposed to Neuro Fuzzy Based Clustering concept, Location Privacy Friendly method and Entropy Based IDS concept. Our approach can create ordinary models of isolated user session.