A systematic literature review and meta-analysis on artificial intelligence in penetration testing and vulnerability assessment

McKinnel, DR, Dargahi, T, Dehghantanha, A ORCID: https://orcid.org/0000-0002-9294-7554 and Choo, KKR 2019, 'A systematic literature review and meta-analysis on artificial intelligence in penetration testing and vulnerability assessment' , Computers & Electrical Engineering, 75 (May 19) , pp. 175-188.

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Abstract

Vulnerability assessment (e.g., vulnerability identification and exploitation; also referred to as penetration testing) is a relatively mature industry, although attempting to keep pace with the diversity of computing and digital devices that need to be examined is challenging. Hence, there has been ongoing interest in exploring the potential of artificial intelligence to enhance penetration testing and vulnerability identification of systems, as evidenced by the systematic literature review performed in this paper. In this review, we focus only on empirical papers, and based on the findings, we identify a number of potential research challenges and opportunities, such as scalability and the need for real-time identification of exploitable vulnerabilities.

Item Type: Article
Schools: Schools > School of Computing, Science and Engineering
Journal or Publication Title: Computers & Electrical Engineering
Publisher: Elsevier
ISSN: 0045-7906
Related URLs:
Depositing User: T Dargahi
Date Deposited: 21 May 2019 14:14
Last Modified: 21 May 2019 14:15
URI: http://usir.salford.ac.uk/id/eprint/51378

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