The field of cyber-physical system (CPS) security is rapidly evolving, with a focus on developing innovative solutions to protect against increasingly sophisticated attacks. Researchers are exploring new approaches to anomaly detection, sensor security, and systematization of knowledge to improve the overall security posture of CPS. Notably, there is a growing emphasis on cross-domain adaptation, sensor out-of-band vulnerabilities, and data-driven sensor selection to enhance the security and resilience of CPS.

A key direction in the field is the development of adaptable anomaly detection models that can detect attacks without requiring previously labeled data. Additionally, systematization frameworks are being proposed to provide a comprehensive understanding of sensor hardware vulnerabilities and to guide the development of more secure sensors and CPS.

Another important area of research is the cybersecurity assessment of humanoid ecosystems, which involves evaluating the security profile of humanoid robots and developing quantitative methods to assess their security maturity levels.

Some noteworthy papers in this area include: SoK: Understanding the Fundamentals and Implications of Sensor Out-of-band Vulnerabilities, which provides a comprehensive abstraction for sensor attack surfaces based on underlying physical principles. SoK: Cybersecurity Assessment of Humanoid Ecosystem, which introduces a seven-layer security model for humanoid robots and develops a quantitative attack-defense matrix with risk-weighted scoring.