Publication detail

Application of Optimization Algorithms to Support Penetration Testing

ŽÁČEK, D. LAZAROV, W.

Original Title

Application of Optimization Algorithms to Support Penetration Testing

Type

conference paper

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: General Papers

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: General Papers",
  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"
}