A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
USENIX-SS'06 Proceedings of the 15th conference on USENIX Security Symposium - Volume 15
MicroRNA target detection and analysis for genes related to breast cancer using MDLcompress
EURASIP Journal on Bioinformatics and Systems Biology
Implementation of an Incremental MDL-Based Two Part Compression Algorithm for Model Inference
DCC '09 Proceedings of the 2009 Data Compression Conference
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Polymorphic attacks threaten to make many intrusion detection schemes ineffective [15]. In order to address the threat of advanced attacks, model based techniques are required. In this paper we improve our Grammar Based Modeling techniques [1] -[5] to be more resilient to attacks that change in form by using advanced classification techniques. Similarity distances from known models are input as features input to Support Vector Machines and other advanced classification techniques to provide improved classification performance. Results indicate promise for intrusion detection and response against polymorphic attack with minimal false alarms.