A novel autonomous container-based platform for cybersecurity training and research

Chouliaras, Nestoras; Kantzavelou, Ioanna; Maglaras, Leandros; Pantziou, Grammati; Amine Ferrag, Mohamed

Abstract

Cyberattacks, particularly those targeting systems that store or handle sensitive data, have become more sophisticated in recent years. To face increasing threats, continuous capacity building and digital skill competence are needed. Cybersecurity hands-on training is essential to upskill cybersecurity professionals. However, the cost of developing and maintaining a cyber range platform is high. Setting up an ideal digital environment for cybersecurity exercises can be challenging and often need to invest a lot of time and system resources in this process. In this article, we present a lightweight cyber range platform that was developed under the open-source cloud platform OpenStack, based on Docker technology using IaC methodology. Combining the advantages of Docker technology, DevOps automation capabilities, and the cloud platform, the proposed cyber range platform achieves the maximization of performance and scalability while reducing costs and resources.

Citation

Chouliaras, N., Kantzavelou, I., Maglaras, L., Pantziou, G., & Amine Ferrag, M. (2023). A novel autonomous container-based platform for cybersecurity training and research. PeerJ Computer Science, 9, Article e1574. https://doi.org/10.7717/peerj-cs.1574

• Journal Article Type: Article
• Acceptance Date: Aug 15, 2023
• Online Publication Date: Sep 7, 2023
• Publication Date: 2023-09
• Deposit Date: Sep 18, 2023
• Publicly Available Date: Sep 18, 2023
• Print ISSN: 2376-5992
• Publisher: PeerJ
• Peer Reviewed: Peer Reviewed
• Volume: 9
• Article Number: e1574
• DOI: https://doi.org/10.7717/peerj-cs.1574
• Keywords: Cyber range, Cyber exercises