Thesis Details
Real-Time Detection of Malware Campaigns
This thesis deals with a real-time detection of malware campaigns based on the available data of internal tools used in the Avast Software company. Its goal is to design and implement a system that obtains and processes messages representing incidents detected at clients. The system extracts and processes useful information and estimates if the threat data are related to an emerging or continuous malware campaign based on various criteria. The experimentation proves that campaign detection based on the carefully selected data and metrics is possible. The implemented system is integrated with other internal tools of the Avast Software company. This thesis also suggests steps for further improving the detection process.
malware, campaign, antivirus, detection, real-time event processing, Avast Software
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.
Drábek Vladimír, doc. Ing., CSc. (DCSY FIT BUT), člen
Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. (DITS FIT BUT), člen
Holík Lukáš, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Malinka Kamil, Mgr., Ph.D. (DITS FIT BUT), člen
Veselý Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
@mastersthesis{FITMT23731,
author = "Patrik Holop",
type = "Master's thesis",
title = "Real-Time Detection of Malware Campaigns",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2021,
location = "Brno, CZ",
language = "english",
url = "https://www.fit.vut.cz/study/thesis/23731/"
}