Defending Cooperative Spectrum Sensing From Byzantine Attacks: An Effective Entropy-Based Weighted Algorithm-Reference-Cited by-同舟云学术

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Defending Cooperative Spectrum Sensing From Byzantine Attacks: An Effective Entropy-Based Weighted Algorithm

Published:2023-12 Issue:12 Volume:12 Page:2063-2067
ISSN:2162-2337
Container-title:IEEE Wireless Communications Letters
language:
Short-container-title:IEEE Wireless Commun. Lett.

Author:

Chouhan Ankit¹^ORCID,Captain Kamal¹,Parmar Ashok¹^ORCID,Patel Jignesh²

Affiliation:

1. Department of Electronics and Communication Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, India

2. Electronics and Communication Department, Indian Institute of Information Technology Vadodara (Gandhinagar), Gandhinagar, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/5962382/10352152/10225318.pdf?arnumber=10225318

Reference9 articles.

1. Mitigation of Byzantine Attacks on Distributed Detection Systems Using Audit Bits

2. Audit Bit Based Distributed Bayesian Detection in the Presence of Byzantines

3. Byzantine Attacker Identification in Collaborative Spectrum Sensing: A Robust Defense Framework

4. Entropy-Based Weighted Decision Combining for Collaborative Spectrum Sensing Over Byzantine Attack

Cited by 3 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. Enhancing Cooperative Spectrum Sensing in Cognitive Radio Systems: Mitigating Byzantine Attacks with a Weighted Algorithm;2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS);2024-01-03

2. Cost and Benefit Tradeoff of SSDF Attack in Cooperative Spectrum Sensing in Cognitive Wireless Sensor Networks;IEEE Sensors Letters;2024

3. Gaussian Mixture Model Based Anomaly Detection for Defense Against Byzantine Attack in Cooperative Spectrum Sensing;IEEE Transactions on Cognitive Communications and Networking;2023

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