Skip to Main content Skip to Navigation
Conference papers

Cyber Supply Chain Threat Analysis and Prediction Using Machine Learning and Ontology

Abstract : Cyber Supply Chain (CSC) security requires a secure integrated network among the sub-systems of the inbound and outbound chains. Adversaries are deploying various penetration and manipulation attacks on an CSC integrated network’s node. The different levels of integrations and inherent system complexities pose potential vulnerabilities and attacks that may cascade to other parts of the supply chain system. Thus, it has become imperative to implement systematic threats analyses and predication within the CSC domain to improve the overall security posture. This paper presents a unique approach that advances the current state of the art on CSC threat analysis and prediction by combining work from three areas: Cyber Threat Intelligence (CTI), Ontologies, and Machine Learning (ML). The outcome of our work shows that the conceptualization of cybersecurity using ontological theory provides clear mechanisms for understanding the correlation between the CSC security domain and enables the mapping of the ML prediction with 80% accuracy of potential cyberattacks and possible countermeasures.
Document type :
Conference papers
Complete list of metadata

https://hal.inria.fr/hal-03287656
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Thursday, July 15, 2021 - 6:09:35 PM
Last modification on : Thursday, July 15, 2021 - 6:34:48 PM
Long-term archiving on: : Saturday, October 16, 2021 - 7:02:12 PM

File

 Restricted access
To satisfy the distribution rights of the publisher, the document is embargoed until : 2024-01-01

Please log in to resquest access to the document

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Abel yeboah-Ofori, Haralambos Mouratidis, Umar Ismai, Shareeful Islam, Spyridon Papastergiou. Cyber Supply Chain Threat Analysis and Prediction Using Machine Learning and Ontology. 17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Jun 2021, Hersonissos, Crete, Greece. pp.518-530, ⟨10.1007/978-3-030-79150-6_41⟩. ⟨hal-03287656⟩

Share

Metrics

Record views

31