Thesis Details
Extraction of Static Features from Binary Applications for Malware Analysis
Bachelor's Thesis
Student: Pružinec Jakub
Academic Year: 2018/2019
Supervisor: Kolář Dušan, doc. Dr. Ing.
Czech title
Extrakce statických rysů z binárních aplikací za účelem analýzy malwaru
Language
English
Abstract
Forms of malware are changing and evolving on daily basis, therefore it is necessary to continuously create, update, and improve methods for malware analysis. One of possible approaches to fighting malware is to classify it based on certain static characteristics. This thesis deals with design and extraction of these features from binary executables. Goal of this work is to enrich a static feature extraction tool by extracting new features and verifying their effectiveness in malware classification. The tool is developed in cooperation with Avast Software, where it is used in a clustering system.
Keywords
Reverse engineering, malware, static analysis, Avast
Department
Degree Programme
Information Technology
Files
Status
defended, grade A
Date
11 June 2019
Reviewer
Committee
Kolář Dušan, doc. Dr. Ing. (DIFS FIT BUT), předseda
Bařina David, Ing., Ph.D. (DCGM FIT BUT), člen
Hrubý Martin, Ing., Ph.D. (DITS FIT BUT), člen
Kořenek Jan, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Zendulka Jaroslav, doc. Ing., CSc. (DIFS FIT BUT), člen
Bařina David, Ing., Ph.D. (DCGM FIT BUT), člen
Hrubý Martin, Ing., Ph.D. (DITS FIT BUT), člen
Kořenek Jan, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Zendulka Jaroslav, doc. Ing., CSc. (DIFS FIT BUT), člen
Citation
PRUŽINEC, Jakub. Extraction of Static Features from Binary Applications for Malware Analysis. Brno, 2019. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2019-06-11. Supervised by Kolář Dušan. Available from: https://www.fit.vut.cz/study/thesis/22056/
BibTeX
@bachelorsthesis{FITBT22056, author = "Jakub Pru\v{z}inec", type = "Bachelor's thesis", title = "Extraction of Static Features from Binary Applications for Malware Analysis", school = "Brno University of Technology, Faculty of Information Technology", year = 2019, location = "Brno, CZ", language = "english", url = "https://www.fit.vut.cz/study/thesis/22056/" }