Secure Detection of Mobile Small-Scale Primary Users in Cognitive Radio Networks
Abstract
Model, characterize, and analyze attack-tolerant detection and location tracking for real-time monitoring of mobile primary user activities; Establish and analyze governing principles for safe coexistence with small-scale primary users by identifying the key security threats; Develop innovative techniques that exploit the PHY-layer signal propagation characteristics to maintain high detection accuracy in hostile CRN environments; and Implement the developed techniques and evaluate their performance via simulation and experiments on a heterogeneous and SDR-based wireless network testbed.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 16, 2019
- Accession Number
- AD1079173
Entities
People
- Kang G. Shin
Organizations
- University of Michigan