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Secure Federated Learning for Cognitive Radio Sensing

This article considers reliable and secure spectrum sensing (SS) based on federated learning (FL) in the cognitive radio (CR) environment. Motivation, architectures, and algorithms of FL in SSare discussed. Security and privacy threats on these algorithms are overviewed, along with possible countermeasures to such attacks. Some illustrative examples are also provided, with design recommendations for FL-based SS in future CRs.

Ketersediaan

Informasi Detail

Judul Seri

IEEE COMMUNICATIONS MAGAZINE; Vol.61 No.3 March 2023

No. Panggil

-

Penerbit

: .,

Deskripsi Fisik

p. 68-73

Bahasa

English

ISBN/ISSN

-

Klasifikasi

NONE

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

-

Edisi

-

Subjek

COGNITIVE RADIO
SPREAD SPECTRUM MANAGEMENT
FEDERATED LEARNING

Info Detail Spesifik

DOI: 10.1109/MCOM.001.2200465

Pernyataan Tanggungjawab

Malgorzata Wasilewska, Hanna Bogucka, H. Vincent Poor

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