Short review on metamorphic malware detection in Hidden Markov Models
Metamorphic malware is well known for evading signature-based detection. To cope up with numerous malware which can emerge easily by using open source malware generator, efficient detection in terms of accuracy and runtime performance shall be considered during analysis. Detection strategies such as...
| Main Authors: | Yeong, T. Ling, Mohd Sani, Nor Fazlida |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Advanced Research International Publication House
2017
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/63209/ http://psasir.upm.edu.my/id/eprint/63209/1/Short%20review%20on%20metamorphic%20malware%20detection%20in%20Hidden%20Markov%20Models.pdf |
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