Host Based Automated Digital Forensic Technique with Intrusion Detection Systems
Abstract
Now a day’s lot of the users use ids and password as login pattern for the authenticate users. However making patterns is weakest point of computer security as so many user share the login pattern with the co-workers for the completed co-task, inside attacker is attacked internally and it will be valid attacker of system, As using intrusion detection systems and firewalls identify and isolate harmful behaviors generated from the outside world we can find out internal attacker of the system only. In some of the studied define examine that system calls generated by some commands and these command help to find detect accurate attacks, and attack patterns are the features of an attack. However in the paper security System define as the Internal Intrusion Detection and Protection System (IIDPS), is help to detect internally attacks by using data mining and forensic technique at SC level. For the track the information of users usages the IIDPS creates users’ personal profiles as their forensic features and investigate that the valid login user is account holder can login or not by comparing his/her current computer usage behaviors with the patterns collected in the account holder’s personal profile. The experimental results demonstrate that the IIDPS’s user identification accuracy is 94.29%, whereas the response time is less than 0.45 s, implying that it can prevent a protected system from insider attacks effectively and efficiently.
References
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