Semi-asynchronous federated learning-based privacy-preserving intrusion detection for advanced metering infrastructure

Zhuoqun Xia; Hongmei Zhou; Zhenzhen Hu; Qisheng Jiang; Kaixin Zhou

doi:10.1016/j.ijcip.2025.100742

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Semi-asynchronous federated learning-based privacy-preserving intrusion detection for advanced metering infrastructure

Zhuoqun Xia Hongmei Zhou Zhenzhen Hu Qisheng Jiang Kaixin Zhou

Year: 2025 Journal: International Journal of Critical Infrastructure Protection Vol: 49 Pages: 100742-100742 Publisher: Elsevier BV

DOI: 10.1016/j.ijcip.2025.100742

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Keywords:

Asynchronous communication Asynchronous learning Metering mode Computer science Intrusion detection system Intrusion Computer security Computer network Engineering

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Smart Grid Security and Resilience

Physical Sciences → Engineering → Control and Systems Engineering

Electricity Theft Detection Techniques

Physical Sciences → Engineering → Electrical and Electronic Engineering

Internet Traffic Analysis and Secure E-voting

Physical Sciences → Computer Science → Artificial Intelligence

Semi-asynchronous federated learning-based privacy-preserving intrusion detection for advanced metering infrastructure

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