Incorporating Cyber Threat Intelligence into Complex Cyber-Physical Systems: A STIX Model for Active Buildings

Czekster, Ricardo M.; Metere, Roberto; Morisset, Charles

Abstract

Active buildings can be briefly described as smart buildings with distributed and renewable energy resources able to energise other premises in their neighbourhood. As their energy capacity is significant, they can provide ancillary services to the traditional power grid. As such, they can be a worthy target of cyber-attacks potentially more devastating than if targeting traditional smart buildings. Furthermore, to handshake energy transfers, they need additional communications that add up to their attack surface. In such a context, security analysis would benefit from collection of cyber threat intelligence (CTI). To facilitate the analysis, we provide a base active building model in STIX in the tool cyberaCTIve that handles complex models. Active buildings are expected to implement standard network security measures, such as intrusion-detection systems. However, to timely respond to incidents, real-time detection should promptly update CTI, as it would significantly speed up the understanding of the nature of incidents and, as such, allow for a more effective response. To fill this gap, we propose an extension to the tool cyberaCTIve with a web service able to accept (incursion) feeds in real-time and apply the necessary modifications to a STIX model of interest.

Citation

Czekster, R. M., Metere, R., & Morisset, C. (2022). Incorporating Cyber Threat Intelligence into Complex Cyber-Physical Systems: A STIX Model for Active Buildings. Applied Sciences, 12(10), Article 5005. https://doi.org/10.3390/app12105005

• Journal Article Type: Article
• Acceptance Date: May 13, 2022
• Online Publication Date: May 16, 2022
• Publication Date: May 16, 2022
• Deposit Date: Jan 20, 2025
• Journal: Applied Sciences
• Electronic ISSN: 2076-3417
• Publisher: MDPI
• Peer Reviewed: Peer Reviewed
• Volume: 12
• Issue: 10
• Article Number: 5005
• DOI: https://doi.org/10.3390/app12105005
• Public URL: https://durham-repository.worktribe.com/output/3342462