An Improved Intrusion Detection System Using Clustering Technique in Data Mining

Abstract

An intrusion detection system is an application that provides protection from malicious activities or policy violations and generates various rules to defend computer security and this system is relevant for intrusion detection. With popularization of internet, internet attack belongings are also  increasing, thus information safety  has became a important issue all over the world, hence Nowadays, it is an critical need to detect, identify and hold up such attacks effectively. In this modern world intrusion occur in a fraction of seconds and Intruders expertly use the modified version of command and thereby erase their footprints in audit and log files. Most of the existing systems have security breaches that make them purely vulnerable and could not be solved. Successful Intrusion Detection Systems academically differentiate both intrusive and nonintrusive records. In this paper, we provide an efficient Intrusion Detection system using clustering technique in Data Mining.