Attacking Spectrum Sensing With Adversarial Deep Learning in Cognitive Radio-Enabled Internet of Things-Reference-Cited by-同舟云学术

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Attacking Spectrum Sensing With Adversarial Deep Learning in Cognitive Radio-Enabled Internet of Things

Published:2023 Issue: Volume: Page:1-14
ISSN:0018-9529
Container-title:IEEE Transactions on Reliability
language:
Short-container-title:IEEE Trans. Rel.

Author:

Liu Mingqian¹^ORCID,Zhang Hongyi¹,Liu Zilong²^ORCID,Zhao Nan³^ORCID

Affiliation:

1. State Key Laboratory of Integrated Service Networks, Xidian University, Shaanxi, Xi’an, China

2. School of Computer Science and Electronic Engineering (CSEE), University of Essex, Colchester, U.K.

3. School of Information and Communication Engineering, Dalian University of Technology, Dalian, China

Funder

National Natural Science Foundation of China

Aeronautical Science Foundation of China

Fundamental Research Funds for the Central Universities

Higher Education Discipline Innovation Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Safety, Risk, Reliability and Quality

Link

http://xplorestaging.ieee.org/ielx7/24/4378406/09805823.pdf?arnumber=9805823

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3. Detecting Adversarial Spectrum Attacks via Distance to Decision Boundary Statistics;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications;2024-05-20

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