ANONYMOUS ACTIVITY DETECTION USING IIDS
Keywords:
Intrusion Detection Systems, data mining, network, vulnerable, malicious, authorisationAbstract
Today in the age of computer and Smartphone’s, it has become a tedious task for us to remember or Ids and
passwords. Especially for working professionals where one needs to enter N numbers of user Ids and passwords, 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 raise an alarm if any suspicious activity is tracked and
observed. However here we are proposing a system which aims to identify internal intrusion in network or system. We
are going to use data mining techniques to identify internal intruders and take action accordingly.
