Work

TranRAT: a lightweight anomaly detection model based on unsupervised learning for insider stealthy attacks in SAS

Year: 2025

Type: article

Source: The Computer Journal

DOI: 10.1093/comjnl/bxaf083

Authors: Chang Hu, Zhuoqun Xia, Wenbing Zhao, Mingfeng Huang, Jianyin Yao, Jingren Pan

Institutions: Changsha University of Science and Technology, Hunan University of Technology and Business

Language: English

Topic: Smart Grid Security and Resilience

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funder: National Natural Science Foundation of China

Award: G4107830625

OpenAlex ID: W7117241533

FWCI:

Cites: 26

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