A dynamic scheduling algorithm for data security capability to adapt to complex business scenarios of new power systems

As the international security environment becomes increasingly complex, cyberattacks pose a significant threat to the stability of power energy systems and national security. To address this, our research aims to develop a dynamic scheduling algorithm tailored for data security in new power systems. This method involves refining protection strategies, enhancing access and control agility, and constructing efficient, cost-effective security mechanisms. Notably, the algorithm significantly improves data security sharing and risk monitoring capabilities, demonstrating its potential to effectively mitigate current and emerging security threats. Our findings underscore the critical importance of adaptive and robust data security measures in safeguardi ng modern power systems.