Detecting Adversarial Spectrum Attacks via Distance to Decision Boundary Statistics-Reference-Cited by-同舟云学术

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Detecting Adversarial Spectrum Attacks via Distance to Decision Boundary Statistics

Published:2024-05-20 Issue: Volume: Page:691-700
ISSN:
Container-title:IEEE INFOCOM 2024 - IEEE Conference on Computer Communications
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Author:

Zhao Wenwei¹,Li Xiaowen²,Zhao Shangqing³,Xu Jie⁴,Liu Yao²,Lu Zhuo¹

Affiliation:

1. University of South Florida,Department of Electrical Engineering

2. University of South Florida,Department of Computer Science and Engineering

3. School of Computer Science, University of Oklahoma

4. University of Miami,Department of Electrical and Computer Engineering

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10621050/10621073/10621153.pdf?arnumber=10621153

Reference46 articles.

1. Dynamic spectrum policies: promises and challenges;Kolodzy;CommLaw Conspectus,2004

2. A Quantitative Analysis of Spectral Occupancy Measurements for Cognitive Radio

3. Cooperative Spectrum Sensing in Cognitive Radio Networks with Weighted Decision Fusion Schemes

4. Energy Detection Based Cooperative Spectrum Sensing in Cognitive Radio Networks

5. When Attackers Meet AI: Learning-empowered Attacks in Cooperative Spectrum Sensing

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