An Internal Intrusion Detection and Protection System by Self Monitoring using Data Mining Techniques

Abstract

In the 21st century where use of advanced computer and Smartphone’s has increased drastically, it has
become a tedious task for us to memorize Ids and passwords. Especially for working professionals where one needs to
take care of N numbers of user Ids and passwords, In order to avoid this we start opting for a common pattern or
password for every authentication. Thus it becomes easy for us to remember but as from security point of view, it
becomes very easy and vulnerable for an attacker to attack a system or network. Intrusion basically refers to some
outsider who does not belong to the group or community and is trying to intrude i.e. get into our system by wrong
means. Thus intrusion detection basically refers to an act of detecting network system for malicious or harmful
activity. It is an application which tries to identify and rise an alarm/inform if any suspicious activity is tracked and
observed. However we have propose a security system, named Internal Intrusion Detection and Protection System
(IIDPS) by self monitoring using data mining. We are going to use data mining techniques to identify internal
intruders and take action accordingly.