Improving Security of the Internet by Using System for Analyzing of Malicious Code Spreading
Reseach leader:Krčma Pavel, Obluk Karel
Team leaders:Hruška Tomáš
Team members:Hlosta Martin, Kupčík Jan, Pešek Martin, Stríž Rostislav, Šebek Michal, Zendulka Jaroslav
Agency:TAČR
Code:TA01010858
Start:2011
End:2013
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.

Publications

2013Hlosta, M., Stríž, R., Kupčík, J., Zendulka, J., Hruška, T.: Constrained Classification of Large Imbalanced Data by Logistic Regression and Genetic Algorithm, In: International Journal of Machine Learning and Computing, Vol. 2013, No. 3, Singapore, SG, p. 214-218, ISSN 2010-3700
2012Kupčík, J., Hruška, T.: 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, PL, SciTePress, 2012, p. 187-192, ISBN 978-989-8565-13-6
 Šebek, M., Hlosta, M., Kupčík, J., Zendulka, J., Hruška, T.: Multi-level Sequence Mining Based on GSP, In: Acta Electrotechnica et Informatica, Vol. 2012, No. 2, SK, p. 31-38, ISSN 1335-8243
2011Šebek, M., Hlosta, M., Kupčík, J., Zendulka, J., Hruška, T.: Multi-level Sequence Mining Based on GSP, In: Proceedings of the Eleventh International Conference on Informatics INFORMATICS'2011, Košice, SK, FEI TU v Košiciach, 2011, p. 185-190, ISBN 978-80-89284-94-8

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