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: Technologická agentura ČR

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 – research leader
Obluk Karel, Ing., Ph.D. – research leader
Hlosta Martin, Ing., Ph.D.
Hruška Tomáš, prof. Ing., CSc. (DIFS)
Kupčík Jan, Ing.
Pešek Martin, Ing.
Stríž Rostislav, Ing.
Šebek Michal, Ing., Ph.D.
Zendulka Jaroslav, doc. Ing., CSc. (UIFS)

Publications

2013

HLOSTA, M.; ŠEBEK, M.; ZENDULKA, J. Approach to Visualisation of Evolving Association Rule Models. Proceedings of The Second International Conference on Informatics & Applications (ICIA 2013). Łódź: The Society of Digital Information and Wireless Communications, 2013. p. 47-52. ISBN: 978-1-4673-5255-0. Detail
HLOSTA, M.; STRÍŽ, R.; KUPČÍK, J.; ZENDULKA, J.; HRUŠKA, T. Constrained Classification of Large Imbalanced Data by Logistic Regression and Genetic Algorithm. International Journal of Machine Learning and Computing, 2013, vol. 2013, no. 3, p. 214-218. ISSN: 2010-3700. Detail
HLOSTA, M.; STRÍŽ, R.; ZENDULKA, J.; HRUŠKA, T. PSO-based Constrained Imbalanced Data Classification. Proceedings of the Twelth International Conference on Informatics INFORMATICS'2013. Spišská Nová Ves: The University of Technology Košice, 2013. p. 234-239. ISBN: 978-80-8143-127-2. Detail
ŠEBEK, M.; HLOSTA, M.; ZENDULKA, J.; HRUŠKA, T. MLSP: Mining Hierarchically-Closed Multi-Level Sequential Patterns. 9th International Conference, ADMA 2013. Lecture Notes in Computer Science. Hangzhou: Springer Verlag, 2013. p. 157-168. ISBN: 978-3-642-53913-8. Detail
ŠEBEK, M.; ZENDULKA, J. Generator of Synthetic Datasets for Hierarchical Sequential Pattern Mining Evaluation. Proceedings of the Twelfth International Conference on Informatics 2013. Košice: The University of Technology Košice, 2013. p. 289-292. ISBN: 978-80-8143-127-2. Detail

2012

KUPČÍK, J.; HRUŠKA, T. Towards Online Data Mining System for Enterprises. Proceedings of the 7th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2012). Wrocław: SciTePress - Science and Technology Publications, 2012. p. 187-192. ISBN: 978-989-8565-13-6. Detail
ŠEBEK, M.; HLOSTA, M.; KUPČÍK, J.; ZENDULKA, J.; HRUŠKA, T. Multi-level Sequence Mining Based on GSP. Acta Electrotechnica et Informatica, 2012, vol. 2012, no. 2, p. 31-38. ISSN: 1335-8243. Detail

2011

ŠEBEK, M.; HLOSTA, M.; KUPČÍK, J.; ZENDULKA, J.; HRUŠKA, T. Multi-level Sequence Mining Based on GSP. Proceedings of the Eleventh International Conference on Informatics INFORMATICS'2011. 1. Košice: Faculty of Electrical Engineering and Informatics, University of Technology Košice, 2011. p. 185-190. ISBN: 978-80-89284-94-8. Detail