Integrative Federated Learning and Zero-Trust Approach for Secure Wireless Communications

Document Type

Article

Source of Publication

IEEE wireless communications

Publication Date

4-1-2024

Abstract

The integration of federated learning and zero-trust security offers a promising solution for enhancing wireless communication security. This comprehensive exploration examines the distinct functionalities of these methodologies and their synergistic potential in fortifying security measures. Given the escalating complexity of cyber threats, there is an urgent need for robust, adaptable security frameworks, a requirement that can be addressed by this innovative combination. By leveraging the decentralized data processing capabilities of federated learning and the comprehensive security controls of zero-trust models, resistance against potential breaches can be significantly bolstered. The work also acknowledges and proposes solutions for inherent challenges in the implementation. The conclusion emphasizes the immense potential of this synergy to revolutionize wireless communication security, providing a robust platform for future research.

ISSN

1536-0687

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Volume

31

Issue

2

First Page

14

Last Page

20

Disciplines

Computer Sciences

Keywords

Federated learning, Zero-trust, Wireless communication security, Cyber threats, Decentralized data processing

Indexed in Scopus

no

Open Access

no

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