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ŽÁČEK, D. LAZAROV, W.
Original Title
Application of Optimization Algorithms to Support Penetration Testing
Type
article in a collection out of WoS and Scopus
Language
English
Original Abstract
This paper presents a novel approach to support the pre-engagement phase of penetration testing, where testing tasks are assigned to penetration testers based on their knowledge and experience to ensure the most appropriate selection. To apply and verify our approach, we developed an automated tool that uses optimization algorithms for the task assignment process. Experimental testing shows that the application of algorithms based on optimization problems in the first phase of penetration testing could be a way to increase its effectiveness.
Keywords
penetration testing; cybersecurity; optimization; task assignment; linear programming
Authors
ŽÁČEK, D.; LAZAROV, W.
Released
23. 4. 2024
Publisher
Brno University of Technology, Faculty of Electrical Engineering and Communication
Location
Brno
ISBN
978-80-214-6231-1
Book
Proceedings I of the 30th Conference STUDENT EEICT 2024
Edition
1
Pages from
143
Pages to
146
Pages count
4
URL
https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_1.pdf
BibTex
@inproceedings{BUT188869, author="Dominik {Žáček} and Willi {Lazarov}", title="Application of Optimization Algorithms to Support Penetration Testing", booktitle="Proceedings I of the 30th Conference STUDENT EEICT 2024", year="2024", series="1", pages="143--146", publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication", address="Brno", isbn="978-80-214-6231-1", url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_1.pdf" }