Systém pro zvýšení bezpečnosti v prostředí Internetu analýzou šíření škodlivého kódu

Project Period: 1. 1. 2011 - 31. 12. 2013

Project Type: grant

Code: TA01010858

Agency: Technology Agency of the Czech Republic

Program: Program aplikovaného výzkumu a experimentálního vývoje ALFA

English title

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

Type

grant

Keywords

computer security, malicious software, malware, data analysis, data mining, visualization

Abstract

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.

Team members

Krčma Pavel (AVG) , research leader
Obluk Karel, Ing., Ph.D. (AVG) , research leader
Hruška Tomáš, prof. Ing., CSc. (UIFS FIT VUT) , team leader
Hlosta Martin, Ing. (UIFS FIT VUT)
Kupčík Jan, Ing. (UIFS FIT VUT)
Pešek Martin, Ing. (UIFS FIT VUT)
Stríž Rostislav, Ing. (UIFS FIT VUT)
Šebek Michal, Ing. (UIFS FIT VUT)
Zendulka Jaroslav, doc. Ing., CSc. (UIFS FIT VUT)

Publications

2013

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. Detail
HLOSTA 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, vol. 2013, no. 3, pp. 214-218. ISSN 2010-3700. Detail
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. Detail
ŠEBEK Michal, HLOSTA Martin, ZENDULKA Jaroslav and HRUŠKA Tomáš. MLSP: Mining Hierarchically-Closed Multi-Level Sequential Patterns. In: 9th International Conference, ADMA 2013. Lecture Notes in Computer Science. Hangzhou: Springer Verlag, 2013, pp. 157-168. ISBN 978-3-642-53913-8. Detail
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. Detail

2012

ŠEBEK Michal, HLOSTA Martin, KUPČÍK Jan, ZENDULKA Jaroslav and HRUŠKA Tomáš. Multi-level Sequence Mining Based on GSP. Acta Electrotechnica et Informatica, vol. 2012, no. 2, pp. 31-38. ISSN 1335-8243. Detail
KUPČÍK 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. Detail

2011

ŠEBEK 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. 1. Košice: Faculty of Electrical Engineering and Informatics, University of Technology Košice, 2011, pp. 185-190. ISBN 978-80-89284-94-8. Detail

Products

2013

Malware 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 Detail