Thesis Details
Zpracování logovacích informací na platformě TeskaLabs
This work describes the usage of machine learning methods for processing logging information on LogMan.io system. The work includes a description of methods of processing logging information for the purposes of security monitoring, as well as machine learning methods and principles of data processing. Subsequently, the work focuses on the introduction of the LogMan.io system and its components. Then, an application for processing logging information is designed and implemented on LogMan.io system, which uses machine learning methods to detect malign domains. When implementing the application for model training, several methods were used focusing on the accuracy of detection.
TeskaLabs, LogMan.io, logging, security monitoring, machine learning
Grézl František, Ing., Ph.D. (DCGM FIT BUT), člen
Hradiš Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Smrčka Aleš, Ing., Ph.D. (DITS FIT BUT), člen
Vašíček Zdeněk, doc. Ing., Ph.D. (DCSY FIT BUT), člen
@bachelorsthesis{FITBT23106, author = "Patrik Kocinec", type = "Bachelor's thesis", title = "Zpracov\'{a}n\'{i} logovac\'{i}ch informac\'{i} na platform\v{e} TeskaLabs", school = "Brno University of Technology, Faculty of Information Technology", year = 2020, location = "Brno, CZ", language = "czech", url = "https://www.fit.vut.cz/study/thesis/23106/" }