BFFBM: A Bloom Filter Based Full-Link Blacklist Monitoring Method on AMI Microservice

The emergence of microservices architecture effectively relieves the single node load pressure of traditional AMI electricity information collection system, as well as improving the reliability and maintainability of electricity services. Nevertheless, the increasingly complex business requirements make the security of microservice invocation links face great risks. To solve this problem, this paper proposes a bloom Filter based microservice full-link blacklist monitoring method to quickly identify and reject illegal service requests to secure system operation and user data. Firstly, the microservice architecture and the basic principle of bloom filter are introduced. Then the blacklist monitoring method and workflow are designed. Finally, experimental analysis and optimization are performed. The experimental results show that our method is practical and effective.