Application of Optimization Algorithms to Support Penetration Testing
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Date
2024
Authors
Žáček, Dominik
Lazarov, Willi
ORCID
Advisor
Referee
Mark
Journal Title
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Volume Title
Publisher
Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
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.
Description
Citation
Proceedings I of the 30st Conference STUDENT EEICT 2024: General papers. s. 143-146. ISBN 978-80-214-6231-1
https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_1.pdf
https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_1.pdf
Document type
Peer-reviewed
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Published version
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Language of document
en
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© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií