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: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Advanced Research International Publication House
2017
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| 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 |
| _version_ | 1848854736876339200 |
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| author | Yeong, T. Ling Mohd Sani, Nor Fazlida |
| author_facet | Yeong, T. Ling Mohd Sani, Nor Fazlida |
| author_sort | Yeong, T. Ling |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | 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 data mining combine with machine learning have been used by researchers for heuristically detecting malware. In this paper, we present Hidden Markov Model as an efficient metamorphic malware detection tool by exploring the common obfuscation techniques used in malware while reviewing and comparing the different studies that adopt HMM as a detection tool. |
| first_indexed | 2025-11-15T11:14:37Z |
| format | Article |
| id | upm-63209 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:14:37Z |
| publishDate | 2017 |
| publisher | Advanced Research International Publication House |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-632092018-08-20T06:25:48Z http://psasir.upm.edu.my/id/eprint/63209/ Short review on metamorphic malware detection in Hidden Markov Models Yeong, T. Ling Mohd Sani, Nor Fazlida 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 data mining combine with machine learning have been used by researchers for heuristically detecting malware. In this paper, we present Hidden Markov Model as an efficient metamorphic malware detection tool by exploring the common obfuscation techniques used in malware while reviewing and comparing the different studies that adopt HMM as a detection tool. Advanced Research International Publication House 2017-02 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/63209/1/Short%20review%20on%20metamorphic%20malware%20detection%20in%20Hidden%20Markov%20Models.pdf Yeong, T. Ling and Mohd Sani, Nor Fazlida (2017) Short review on metamorphic malware detection in Hidden Markov Models. International Journal of Advanced Research in Computer Science and Software Engineering, 7 (2). pp. 62-69. ISSN 2277-6451; ESSN: 2277-128X http://www.ijarcsse.com/index.php/ijarcsse 10.23956/ijarcsse/V7I2/01218 |
| spellingShingle | Yeong, T. Ling Mohd Sani, Nor Fazlida Short review on metamorphic malware detection in Hidden Markov Models |
| title | Short review on metamorphic malware detection in Hidden Markov Models |
| title_full | Short review on metamorphic malware detection in Hidden Markov Models |
| title_fullStr | Short review on metamorphic malware detection in Hidden Markov Models |
| title_full_unstemmed | Short review on metamorphic malware detection in Hidden Markov Models |
| title_short | Short review on metamorphic malware detection in Hidden Markov Models |
| title_sort | short review on metamorphic malware detection in hidden markov models |
| url | http://psasir.upm.edu.my/id/eprint/63209/ http://psasir.upm.edu.my/id/eprint/63209/ 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 |