The curse of ease of access to the internet
ICISS'07 Proceedings of the 3rd international conference on Information systems security
Typed linear chain conditional random fields and their application to intrusion detection
IDEAL'10 Proceedings of the 11th international conference on Intelligent data engineering and automated learning
Towards adjusting mobile devices to user's behaviour
MSM'10/MUSE'10 Proceedings of the 2010 international conference on Analysis of social media and ubiquitous data
Pattern Recognition Letters
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An Intrusion Detection System is now an inevitable part of any computer network. With the ever increasing number and diverse type of attacks, including new and previously unseen attacks, the effectiveness of an Intrusion Detection System is often subjected to testing. The use of such systems have greatly reduced the threat level, however, the networks and hence the data and services offered by them are far away from the state when they can be considered as secure. In this paper we propose and experimentally validate the use and robustness of 'Conditional Random Fields,' for the task of Intrusion Detection. We show, experimentally, that the Conditional Random Fields, can be very effective in detecting intrusions when compared with the previously known techniques.