Toward Next-Generation Cyber Range: A Comparative Study of Training Platforms
摘要
As cyber incidents increase in number and disruption, cybersecurity competencies represent a need more than ever. In this context, Cyber Range platforms have been proven as an effective tool to train both professional and common users in such competencies. This study presents a comparative analysis of eight Cyber Range platforms, discussing the needed evolution toward next-generation cyber range platforms. The comparative analysis focuses on key aspects such as application domains, methods of experimentation, infrastructure technologies, and topology generation, among others. This study also aims to provide insights into the capabilities and features offered by different Cyber Range platforms and, specifically, network topology generation tools, allowing for informed decision-making when selecting the most suitable solution for specific training and experimentation needs. Additionally, the study considers how the ethical and well-thought use of Artificial Intelligence (AI) could enhance the automation processes of Cyber Ranges, whether it acts in scenario randomization or topology generation.