PFLSE: A Personalized Federated Learning Framework Based on Shannon Entropy Metric for Intrusion Detection in IIoT

Xingjian Zhu; Jin Qi; Jialin Hua; Tian Li; Lijun Yang; Zhenjiang Dong; Yanfei Sun

doi:10.1109/jiot.2025.3631089

ScienceGate Book Chapters

JOURNAL ARTICLE

PFLSE: A Personalized Federated Learning Framework Based on Shannon Entropy Metric for Intrusion Detection in IIoT

Xingjian Zhu Jin Qi Jialin Hua Tian Li Lijun Yang Zhenjiang Dong Yanfei Sun

Year: 2025 Journal: IEEE Internet of Things Journal Vol: 13 (2)Pages: 2936-2955 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/jiot.2025.3631089

Get Full-Text PDF Get Analytical Report

Keywords:

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

Citation Normalized Percentile

Is in top 1%

Is in top 10%

PFLSE: A Personalized Federated Learning Framework Based on Shannon Entropy Metric for Intrusion Detection in IIoT

Metrics

Topics

Related Documents

Federated Deep Learning-Based Framework for Intrusion Detection in Military IIoT

Federated Learning-based Intrusion Detection Framework for Cyber Physical System-based IIoT

Federated learning-based intrusion detection in SDN-enabled IIoT networks

Personalized Federated Learning based Intrusion Detection Approach for Metaverse

Cluster-based Federated Learning Framework for Intrusion Detection