With the continuous improvement of the scale and openness of smart grid

power monitoring devices such as remote terminal units (RTU) have put forward an urgent need for the integration of functional security and information security (functional safety and information security integration) in ensuring reliability and preventing network attacks. However

the existing two security integration strategies rely heavily on experience driven stacking

lacking systematic integration and unified quantitative evaluation

making it difficult to achieve coordination and balance between security benefits and resource costs in resource constrained environments. Therefore

this paper proposes two security integration strategy based on two-level game and discrete particle swarm optimization

where each security unit independently selects protective measures under resource constraints through a non-cooperative game model. By using a cooperative game model

the ability to protect security measures is considered in conjunction with three types of resource constraints. The discrete particle swarm algorithm is optimized to solve the cooperative game model and obtain the optimal combination of security protection measures. The test results on a certain RTU demonstrate that the proposed method achieves a central processing unit occupancy rate of 20% and read-only memory usage of 12 MB for the combination of security protection measures

with a comprehensive protection score of 65 points. The proposed strategy can efficiently coordinate security performance and hardware overhead in resource-constrained RTU environments

effectively addressing the limitations of existing schemes and providing an efficient and secure solution. The presented two-level game plus optimization model exhibits superior strategy effectiveness and resource adaptability.