Computational Intelligence for Malware Classification
Thesis title in Czech: | Výpočetní inteligence pro klasifikaci malware |
---|---|
Thesis title in English: | Computational Intelligence for Malware Classification |
Key words: | malware, strojové učení, klasifikace |
English key words: | malware, machine learning, classification |
Academic year of topic announcement: | 2014/2015 |
Thesis type: | diploma thesis |
Thesis language: | angličtina |
Department: | Department of Theoretical Computer Science and Mathematical Logic (32-KTIML) |
Supervisor: | Mgr. Martin Pilát, Ph.D. |
Author: | hidden - assigned and confirmed by the Study Dept. |
Date of registration: | 03.03.2015 |
Date of assignment: | 03.03.2015 |
Confirmed by Study dept. on: | 19.03.2015 |
Date and time of defence: | 08.09.2015 09:30 |
Date of electronic submission: | 29.07.2015 |
Date of submission of printed version: | 30.07.2015 |
Date of proceeded defence: | 08.09.2015 |
Opponents: | doc. RNDr. Pavel Surynek, Ph.D. |
Guidelines |
Automatická klasifikace škodlivého software poskytuje zajímavé výzvy pro metody strojového učení a výpočetní inteligence. Je potřeba vybrat vhodné příznaky z binárních souborů. To s sebou mimojiné nese i nutnost pracovat s velkými objemy dat.
Student se seznámí s přístupy pro klasifikaci složitých nestrukturovaných dat a pokusí se navrhnout nové přístupy použitelné pro klasifikaci malware. Navržené postupy naimplementuje a otestuje. |
References |
[1] Kinable, Joris, and Orestis Kostakis. "Malware classification based on call graph clustering." Journal in computer virology 7.4 (2011): 233-245.
[2] Tian, Ronghua, Lynn Margaret Batten, and S. C. Versteeg. "Function length as a tool for malware classification." Malicious and Unwanted Software, 2008. MALWARE 2008. 3rd International Conference on. IEEE, 2008. [3] Cesare, Silvio, and Yang Xiang. "Classification of malware using structured control flow." Proceedings of the Eighth Australasian Symposium on Parallel and Distributed Computing-Volume 107. Australian Computer Society, Inc., 2010. [4] Haykin, Simon, "Neural Networks: A Comprehensive Foundation", 2nd ed., Prentice Hall, 1999. [5] Bishop, Christopher M., "Pattern Recognition and Machine Learning", Springer, 2006. |