The recent advancements in the research area of cyber-physical systems and smart grid security have shown a significant shift towards leveraging advanced technologies and methodologies to enhance resilience and decision-making capabilities. A notable trend is the adoption of game-theoretic frameworks and digital twin technologies to model and mitigate complex cyber threats. These approaches enable comprehensive risk assessment and the design of adaptive, scalable resilience mechanisms, particularly in the context of intelligent transportation systems and smart grids. Additionally, there is a growing emphasis on process-aware intrusion detection systems and the integration of multi-criteria decision-making methods to optimize defense strategies. The development of sophisticated simulation environments and the use of machine learning for intrusion detection are also advancing the field, providing realistic data for training and evaluating security technologies. Furthermore, the importance of cybersecurity in open source software and the implications of new regulations, such as the Cyber Resilience Act, are being thoroughly examined to ensure the sustainability and security of critical infrastructures. Overall, the field is moving towards more integrated, adaptive, and sophisticated solutions to address the evolving challenges in cybersecurity.