%0 Journal Article %1 siddheshwarvpatil12011intrusion %A Siddheshwar V. Patil, Prakash J. Kulkarni %B 3 %D 2011 %E Das, Vinu V %I The Association of Copmuter Electronics and Electrical Engineers %J International Journal on Network Security %K Intrusion_Detection Network_Security %N 3 %P 4 %T Intrusion Detection Using Conditional Random Fields %U http://doi.searchdl.org/01.IJNS.2.3.125 %V 2 %X Intrusion detection systems have become a key component in ensuring the safety of systems and networks. This paper introduces the probabilistic approach called Conditional Random Fields (CRF) for detecting network based intrusions. In this paper, we have shown results for the issue of accuracy using CRFs. It is demonstrated that high attack detection accuracy can be achieved by using Conditional Random Fields. Experimental results on the benchmark KDD’99 intrusion data set show the importance of proposed system. The improvement in attack detection accuracy is very high for Probe, Denial of Service, U2R and R2L attacks.

@article{siddheshwarvpatil12011intrusion, abstract = {Intrusion detection systems have become a key component in ensuring the safety of systems and networks. This paper introduces the probabilistic approach called Conditional Random Fields (CRF) for detecting network based intrusions. In this paper, we have shown results for the issue of accuracy using CRFs. It is demonstrated that high attack detection accuracy can be achieved by using Conditional Random Fields. Experimental results on the benchmark KDD’99 intrusion data set show the importance of proposed system. The improvement in attack detection accuracy is very high for Probe, Denial of Service, U2R and R2L attacks. }, added-at = {2012-09-25T09:03:08.000+0200}, author = {Siddheshwar V. Patil, Prakash J. Kulkarni}, biburl = {https://www.bibsonomy.org/bibtex/2352d6787f33bbc77fedbcd6219751f56/ideseditor}, editor = {Das, Vinu V}, interhash = {a32b2d6c28684cfa5ce7c310285a0092}, intrahash = {352d6787f33bbc77fedbcd6219751f56}, journal = {International Journal on Network Security}, keywords = {Intrusion_Detection Network_Security}, month = {July}, number = 3, organization = {Institute of Doctors Engineers and scientist(IDES)}, pages = 4, publisher = {The Association of Copmuter Electronics and Electrical Engineers}, series = 3, timestamp = {2012-09-25T09:03:08.000+0200}, title = {Intrusion Detection Using Conditional Random Fields }, url = {http://doi.searchdl.org/01.IJNS.2.3.125}, volume = 2, year = 2011 }