To generate high quality signatures of such worms, we propose SAS, a novel Semantics Aware Statistical algorithm that generates semantic- aware signatures ...

May 22, 2011 · To our best knowledge, this is the first work combining semantic analysis with statistical analysis to automatically generate worm signatures.

Our experiments show that the proposed technique can accurately detect worms with concise signatures. Moreover, our results indicate that SAS is more robust to ...

Our experiments show that the proposed technique can accurately detect worms with concise signatures. Moreover, our results indicate that SAS is more robust to ...

To our best knowledge, this is the first work combining semantic analysis with statistical analysis to automatically generate worm signatures. Our experiments ...

May 28, 2012 · This is the first work combining semantic analysis with statistical analysis to automatically generate worm signatures.

To thwart worms spreading out over Internet, pattern-based signatures have been widely adopted in many network intrusion detection systems; however, existing ...

Our experiments show that the proposed technique can accurately detect worms with concise signatures. Moreover, our results indicate that SAS is more robust to ...

Bibliographic details on SAS: Semantics Aware Signature Generation for Polymorphic Worm Detection.

This paper examines the assumptions underlying two leading network-based signature generation systems for polymorphic worms: polygraph and Hamsa and ...