FL-CTIF: A federated learning based CTI framework based on information fusion for secure IIoT-Reference-Cited by-同舟云学术

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FL-CTIF: A federated learning based CTI framework based on information fusion for secure IIoT

Published:2024-02 Issue: Volume:102 Page:102074
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Salim Mikail Mohammed,Azzaoui Abir El,Deng Xianjun,Park Jong Hyuk

Funder

National Research Foundation of Korea

Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference35 articles.

1. A survey on metaverse: fundamentals, security, and privacy;Wang;IEEE Commun. Surv. Tutor.,2022

2. MetaOmniCity: Towards immersive Urban Metaverse Cyberspaces Using Smart City Digital Twins;Kuru,2023

3. The future of Metaverse: security Issues, Requirements, and Solutions;Choi;Human-Centric Comput. Inf. Sci.,2022

4. FusionFedBlock: fusion of blockchain and federated learning to preserve privacy in industry 5.0;Singh;Inf. Fusion,2023

5. DeepBlockScheme: a deep learning-based blockchain driven scheme for secure smart city;Singh;Human-centric Comput. Inf. Sci.,2021

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1. Distributed and trustworthy digital twin platform based on blockchain and Web3 technologies;Cyber Security and Applications;2025-12

2. FIDWATCH: Federated incremental distillation for continuous monitoring of IoT security threats;Ad Hoc Networks;2024-12

3. Federated continual representation learning for evolutionary distributed intrusion detection in Industrial Internet of Things;Engineering Applications of Artificial Intelligence;2024-09

4. Federated Learning-Oriented Edge Computing Framework for the IIoT;Sensors;2024-06-27

5. A Multifaceted Survey on Federated Learning: Fundamentals, Paradigm Shifts, Practical Issues, Recent Developments, Partnerships, Trade-Offs, Trustworthiness, and Ways Forward;IEEE Access;2024

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