INTRUSION DETECTION SYSTEM FOR INTERNAL ATTACKS USING DATA MINING TECHNIQUES
Computer Engineering, P K Technical Campus, Pune University, India
ABSTRACT
Intrusion means some outsider who is not part of the organization and who is trying to intrude i.e. trying to access something into our system by wrong intention. So intrusion detection basically points to an act of detecting network system for harmful or malicious activity. It is a web based application which identifies and raises the notification if any harmful activity is observed. Here we are proposing a system with intention to identify internal intrusion in system or network. We are using data mining techniques to catch internal intruders and take action accordingly. There so many ways to protect the networks and data from attackers for example firewall but it is observed that firewalls commonly try to protect computer system against outsider attacks. So in this paper we are focusing different data mining and forensic techniques to detect and protect internal computer system from intrusion using Internal Intrusion Detection and protection systems using Forensic Techniques and Data Mining to find out insider attacks at System call level.
