There are many examples of intrusion detection systems that use rough set theory for feature selection/feature ranking, often in combination with a support vector machine (SVM) classifier.

For example:

http://www.ncbi.nlm.nih.gov/pubmed/15323002

http://arxiv.org/pdf/1004.0567.pdf

http://cbio.ensmp.fr/~jvert/svn/bibli/local/Zhang2004Intrusion.pdf

Rough set theory often rely on genetic algorithms for calculating the set, so looking for fast software for genetic algorithms is one possible approach.

That is  great idea  thanks doctor Nils. But, the question is can we model it to IPS ?

An intrusion prevention system (IPS) is just intrusion detection plus some response mechanism, so that should be fine. The detection part of the problem will be the same for intrusion detection and prevention cases.

Great doctor, can you suggest Q1 journal for that topic to publish my hypothesis on it , would you like to become co-author and  review my paper as well.

Kindest Regards