Nikolaos Polatidis
From product recommendation to cyber-attack prediction: generating attack graphs and predicting future attacks
Polatidis, Nikolaos; Pimenidis, Elias; Pavlidis, Michalis; Papastergiou, Spyridon; Mouratidis, Haralambos
Authors
Dr Elias Pimenidis Elias.Pimenidis@uwe.ac.uk
Senior Lecturer in Computer Science
Michalis Pavlidis
Spyridon Papastergiou
Haralambos Mouratidis
Abstract
Modern information society depends on reliable functionality of information systems infrastructure, while at the same time the number of cyber-attacks has been increasing over the years and damages have been caused. Furthermore, graphs can be used to show paths than can be exploited by attackers to intrude into systems and gain unauthorized access through vulnerability exploitation. This paper presents a method that builds attack graphs using data supplied from the maritime supply chain infrastructure. The method delivers all possible paths that can be exploited to gain access. Then, a recommendation system is utilized to make predictions about future attack steps within the network. We show that recommender systems can be used in cyber defense by predicting attacks. The goal of this paper is to identify attack paths and show how a recommendation method can be used to classify future cyber-attacks in terms of risk management. The proposed method has been experimentally evaluated and validated, with the results showing that it is both practical and effective.
Citation
Polatidis, N., Pimenidis, E., Pavlidis, M., Papastergiou, S., & Mouratidis, H. (2020). From product recommendation to cyber-attack prediction: generating attack graphs and predicting future attacks. Evolving Systems, 11(2), 479-490. https://doi.org/10.1007/s12530-018-9234-z
Journal Article Type | Article |
---|---|
Acceptance Date | May 13, 2018 |
Online Publication Date | May 22, 2018 |
Publication Date | Jun 30, 2020 |
Deposit Date | May 16, 2018 |
Publicly Available Date | Mar 28, 2024 |
Journal | Evolving Systems |
Print ISSN | 1868-6478 |
Electronic ISSN | 1868-6486 |
Publisher | Springer Verlag |
Peer Reviewed | Peer Reviewed |
Volume | 11 |
Issue | 2 |
Pages | 479-490 |
DOI | https://doi.org/10.1007/s12530-018-9234-z |
Keywords | recommender systems, cyber security, attack graph generation, attack prediction, risk management |
Public URL | https://uwe-repository.worktribe.com/output/875579 |
Publisher URL | https://doi.org/10.1007/s12530-018-9234-z |
Additional Information | Additional Information : The final publication is available at Springer via https://doi.org/10.1007/s12530-018-9234-z |
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Copyright Statement
The final publication is available at Springer via http://dx.doi.org/10.1007/s12530-018-9234-z
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