Prof. Ing. Tomáš Hruška, CSc.


Improving Security of the Internet by Using System for Analyzing of Malicious Code Spreading

Czech title:Systém pro zvýšení bezpečnosti v prostředí Internetu analýzou šíření škodlivého kódu
Research leader:Krčma Pavel (AVG), Obluk Karel (AVG)
Team leaders:Hruška Tomáš
Team members:Hlosta Martin, Kupčík Jan, Pešek Martin, Stríž Rostislav, Šebek Michal, Zendulka Jaroslav
Agency:Technology Agency of the Czech Republic
Code:TA01010858
Start:2011-01-01
End:2013-12-31
Keywords:computer security, malicious software, malware, data analysis, data mining, visualization
Annotation:
The project is focused on discovering of new information about malware spreading from data anonymously collected by antivirus software from AVG Technologies CZ. Thanks to this new knowledge it will be possible to fight against malware more effectively and decrease damages caused by its activities.

Products

2013Malware Analysis System, software, 2013
Authors: Hlosta Martin, Kupčík Jan, Šebek Michal, Pešek Martin, Stríž Rostislav, Hruška Tomáš, Zendulka Jaroslav, Halfar Patrik, Masařík Karel, Krčma Pavel

Publications

2013HLOSTA Martin, STRÍŽ Rostislav, KUPČÍK Jan, ZENDULKA Jaroslav and HRUŠKA Tomáš. Constrained Classification of Large Imbalanced Data by Logistic Regression and Genetic Algorithm. International Journal of Machine Learning and Computing. Singapore: of Computer Science and Information Technology Press, 2013, vol. 2013, no. 3, pp. 214-218. ISSN 2010-3700.
 HLOSTA Martin, STRÍŽ Rostislav, ZENDULKA Jaroslav and HRUŠKA Tomáš. PSO-based Constrained Imbalanced Data Classification. In: Proceedings of the Twelth International Conference on Informatics INFORMATICS'2013. Spišská Nová Ves: The University of Technology Košice, 2013, pp. 234-239. ISBN 978-80-8143-127-2.
 HLOSTA Martin, ŠEBEK Michal and ZENDULKA Jaroslav. Approach to Visualisation of Evolving Association Rule Models. In: Proceedings of The Second International Conference on Informatics & Applications (ICIA 2013). Łódź: The Society of Digital Information and Wireless Communications, 2013, pp. 47-52. ISBN 978-1-4673-5255-0.
 ŠEBEK Michal and ZENDULKA Jaroslav. Generator of Synthetic Datasets for Hierarchical Sequential Pattern Mining Evaluation. In: Proceedings of the Twelfth International Conference on Informatics 2013. Košice: The University of Technology Košice, 2013, pp. 289-292. ISBN 978-80-8143-127-2.
 ŠEBEK Michal, HLOSTA Martin, ZENDULKA Jaroslav and HRUŠKA Tomáš. MLSP: Mining Hierarchically-Closed Multi-Level Sequential Patterns. In: 9th International Conference, ADMA 2013. Hangzhou: Springer Verlag, 2013, pp. 157-168. ISBN 978-3-642-53913-8.
2012KUPČÍK Jan and HRUŠKA Tomáš. Towards Online Data Mining System for Enterprises. In: Proceedings of the 7th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2012). Wrocław: SciTePress - Science and Technology Publications, 2012, pp. 187-192. ISBN 978-989-8565-13-6.
 ŠEBEK Michal, HLOSTA Martin, KUPČÍK Jan, ZENDULKA Jaroslav and HRUŠKA Tomáš. Multi-level Sequence Mining Based on GSP. Acta Electrotechnica et Informatica. 2012, vol. 2012, no. 2, pp. 31-38. ISSN 1335-8243.
2011ŠEBEK Michal, HLOSTA Martin, KUPČÍK Jan, ZENDULKA Jaroslav and HRUŠKA Tomáš. Multi-level Sequence Mining Based on GSP. In: Proceedings of the Eleventh International Conference on Informatics INFORMATICS'2011. Košice: Faculty of Electrical Engineering and Informatics, University of Technology Košice, 2011, pp. 185-190. ISBN 978-80-89284-94-8.

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