An Efficient
Intrusion Detection System by Using Behaviour Profiling and Statistical
Approach Model
Rajagopal
Devarajan and Padmanabhan Rao
PG and Research Department of Computer Science and
Applications, Vivekanandha College of Arts and Sciences for Women (Autonomous),
India
Abstract: Unauthorized
access in a personal computer or single system of a network for tracking the
system access or theft the information is called attack/ hacking. An Intrusion
detection System defined as an effective security technology, it detect,
prevent and possibly react to computer related malicious activities. For
protecting computer systems and networks from abuse used mechanism named
Intrusion detection system. The aim of the study is to know the possibilities
of Intrusion detection and highly efficient and effective prevent technique.
Using this model identified the efficient algorithm for intrusion detection
Behaviour Profiling Algorithm and to perform dynamic analysis using Statistical
Approach model using log file which provides vital information about systems
and the activities on them. The proposed algorithm implemented model it
produced above 90%, 96% and 98% in the wired, wireless and cloud network
respectively. This study concluded that, the efficient algorithm to detect the
intrusion is behaviour profiling algorithm, while join with the statistical
approach model, it produces efficient result. In further research, possibility
to identify which programming technique used to store the activity log into the
database. Next identify which algorithm is opt to implement the intrusion
detection and prevention system by using big data even the network is wired,
wireless or cloud network.
Keywords: IDS, IPS, behaviour profiling algorithm, statistical
approach model, NIDS, HIDS.
Received September 12, 2019; accepted May 9,
2020
https://doi.org/10.34028/iajit/18/1/13