Work

Locational Detection of False Data Injection Attacks in Smart Grids: A Cloud–Edge Framework Based on Split Learning

Year: 2025

Type: article

Source: IEEE Transactions on Smart Grid

DOI: 10.1109/tsg.2025.3580683

Authors: Mert Kesici, Malek Alduhaymi, Anton Ishchenko, Guangya Yang, Bikash C. Pal

Institutions: Imperial College London, Prince Sattam Bin Abdulaziz University, Technical University of Denmark

Language: English

Topic: Smart Grid Security and Resilience

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: Engineering and Physical Sciences Research Council, H2020 Marie Skłodowska-Curie Actions

Awards: Innovative Tools for Cyber-Physical Energy Systems, Resilient Operation of Sustainable Energy Systems (ROSES)

OpenAlex ID: W4411358902

FWCI: 2.67

Cites: 35

Cited by: 7

Related to: 10