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Secure cooperative spectrum sensing for the cognitive radio network using nonuniform reliability
1Department of Electrical, Electronics and Computer Engineering, University of Ulsan, 93 Daehak-ro, Nam-gu, Ulsan 680-749, Republic of Korea.
This study introduces a cooperative spectrum sensing method for cognitive radio networks. It enhances reliability by assigning nonuniform user reliability to mitigate malicious attacks and improve sensing accuracy.
Area of Science:
- Electrical Engineering
- Computer Science
- Wireless Communications
Background:
- Cognitive radio networks (CRNs) require reliable primary signal detection in challenging environments.
- Nullifying unauthorized users is crucial for efficient spectrum utilization.
- Link layer attacks, like Byzantine attacks, compromise spectrum sensing data integrity.
Purpose of the Study:
- To develop a cooperative spectrum sensing approach addressing unreliable users and malicious attacks in CRNs.
- To enhance spectrum sensing accuracy and efficiency by isolating faulty or malicious nodes.
- To propose novel strategies for robust global decision-making in cooperative spectrum sensing.
Main Methods:
- Assigning nonuniform reliability to users based on their sensing performance and channel conditions.
- Utilizing reliability as an identification tag to isolate unreliable and malicious users.
- Developing three distinct strategies to exclude unreliable/malicious users from the fusion process.
- Employing reliability degree as a weighting factor in the fusion center for global decision-making (Scheme I).
- Simplifying computations by considering user unreliability in Schemes II and III.
Main Results:
- Proposed schemes significantly reduce the number of sensing reports required.
- Enhanced inference accuracy in spectrum sensing is achieved.
- Improved sensing time and decreased control channel collisions by considering only reliable users.
- Demonstrated advantages over conventional cooperative spectrum sensing and the Chair-Varshney optimum rule through simulations.
Conclusions:
- The proposed nonuniform reliability-based cooperative spectrum sensing effectively mitigates malicious attacks and improves sensing performance.
- The developed strategies offer simpler computations and enhanced accuracy compared to existing methods.
- This approach is vital for robust and efficient cognitive radio network operation.
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