Ontology-based Automation of Penetration Testing

Ge Chu; Alexei Lisitsa

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Paper

Ontology-based Automation of Penetration Testing

Topics: AI and Machine Learning for Security; Security

In Proceedings of the 6th International Conference on Information Systems Security and Privacy ICISSP - Volume 1, 713-720, 2020 , Valletta, Malta

Authors: Ge Chu and Alexei Lisitsa

Affiliation: Department of Computer Science, University of Liverpool, Liverpool, U.K.

Keyword(s): Automated Penetration Testing, Information Security, Ontology, Protege, SWRL, BDI Agent.

Abstract: Ontology is a widely used knowledge representation formalism in artificial intelligence area in recent years. In this paper, we propose an ontology-based automated penetration testing approach. We use protege to create the ontology, which is constructed based on attack taxonomy. SWRL rules are used to create penetration testing knowledge base and reasoning. We use agent-based(BDI) framework to achieve the process of automated penetration testing.

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Paper citation in several formats:

Chu, G. and Lisitsa, A. (2020). Ontology-based Automation of Penetration Testing. In Proceedings of the 6th International Conference on Information Systems Security and Privacy - ICISSP; ISBN 978-989-758-399-5; ISSN 2184-4356, SciTePress, pages 713-720. DOI: 10.5220/0009171007130720

@conference{icissp20,
author={Ge Chu. and Alexei Lisitsa.},
title={Ontology-based Automation of Penetration Testing},
booktitle={Proceedings of the 6th International Conference on Information Systems Security and Privacy - ICISSP},
year={2020},
pages={713-720},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009171007130720},
isbn={978-989-758-399-5},
issn={2184-4356},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Information Systems Security and Privacy - ICISSP
TI - Ontology-based Automation of Penetration Testing
SN - 978-989-758-399-5
IS - 2184-4356
AU - Chu, G.
AU - Lisitsa, A.
PY - 2020
SP - 713
EP - 720
DO - 10.5220/0009171007130720
PB - SciTePress