Enhancing Intrusion Detection using CRF and Layered Approach for Discussion Forum Web Application

Intrusion detection systems provide way of detecting attacks on systems by monitoring network activities for malicious or abnormal behaviors. As the use of network has become a part of each and everyone's daily routine today's intrusion detection system faces number of challenges. Network intrusion detection system has become an important component in network security. In this paper we address two issues one Conditional Random Fields (CRFs) and second layered approach. We integrate both of them to improve overall accuracy and efficiency. The system will detect attacks like Probe layer attack, Dos attack, R2L attack and U2R attack.