Thesis Details
Vysoce výkonná platforma pro účely výzkumu malwaru
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
The publication of the diploma thesis is in accordance with the provision of § 47b par. 4 of the Act no. 111/1998, about universities and about the change and supplementing other laws (Higher Education Act), as amended, delayed by 3 years. The reason for the delay of the publication is the protection of intellectual property and the fact that the thesis contains business secret in the sense of the relevant provisions of the Act no. 89/2012 Coll., Civil Code.
Beran Vítězslav, 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
@mastersthesis{FITMT22061,
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 = "https://www.fit.vut.cz/study/thesis/22061/"
}