Thesis Details

Vysoce výkonná platforma pro účely výzkumu malwaru

Master's Thesis Student: Plaskoň Pavol Academic Year: 2018/2019 Supervisor: Kolář Dušan, doc. Dr. Ing.
English title
High-Performance Platform for Malware Research

Anti-malware companies analyze large number of files every day. In order to speed up their analysis, many automatized tools were implemented. Detection definitions that detect malicious software are often generated automatically. Information about currently spreading malware is scattered across several tools and they are sometimes too generic. This work proposes a new tool that will aggregate, prioritize, and evaluate all the available information. Due to large amount of incoming data, high performance and scalability of the system is necessary. Files, detection definitions, and other objects will be tagged using the given information directly or inferred. Collected information will be accessible via interface for further analysis and statistics. Everything was implemented, tested and put into production.


malware analysis, detection definitions, classification, scalability, tagging

Degree Programme
Information Technology, Field of Study Intelligent Systems
defended, grade A
18 June 2019
Zbořil František V., doc. Ing., CSc. (DITS FIT BUT), předseda
Beran Vítězslav, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Grézl František, Ing., Ph.D. (DCGM FIT BUT), člen
Janoušek Jan, doc. Ing., Ph.D. (FIT CTU), člen
Peringer Petr, Dr. Ing. (DITS FIT BUT), člen
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), člen
PLASKOŇ, Pavol. Vysoce výkonná platforma pro účely výzkumu malwaru. Brno, 2019. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2019-06-18. Supervised by Kolář Dušan. Available from:
    author = "Pavol Plasko\v{n}",
    type = "Master's thesis",
    title = "Vysoce v\'{y}konn\'{a} platforma pro \'{u}\v{c}ely v\'{y}zkumu malwaru",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2019,
    location = "Brno, CZ",
    language = "czech",
    url = ""
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