Robust Spectrum Sensing Scheme against Malicious Users Attack in a Cognitive Radio Network-Reference-Cited by-同舟云学术

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Robust Spectrum Sensing Scheme against Malicious Users Attack in a Cognitive Radio Network

Published:2021-12-09 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Electrical, Computer and Energy Technologies (ICECET)
language:
Short-container-title:

Author:

Clement J. Christopher¹^ORCID,Sriharipriya K. C.¹

Affiliation:

1. Vellore Institute of Technology,School of Electronics Engineering,Vellore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9698246/9698247/09698612.pdf?arnumber=9698612

Reference8 articles.

1. Anomaly detection based on an iterative local statistics approach;cohen;Signal Processing,2004

2. Defense Against SSDF Attack in Cognitive Radio Networks: Attack-Aware Collaborative Spectrum Sensing Approach

3. Non-Antipodal Signaling Based Robust Detection for Cooperative Spectrum Sensing in MIMO Cognitive Radio Networks

4. Convex Optimization

5. Learning a Mahalanobis Distance-Based Dynamic Time Warping Measure for Multivariate Time Series Classification

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. OntoBlock: a novel ontological-based and blockchain enabled spectrum sensing framework for detection of malicious users in cognitive radio internet of things (CR-IoT) networks;International Journal of Information Technology;2024-06-21

2. GRU-SVM Based Threat Detection in Cognitive Radio Network;Sensors;2023-01-24

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