Accession Number:

AD1079173

Title:

Secure Detection of Mobile Small-Scale Primary Users in Cognitive Radio Networks

Descriptive Note:

Technical Report,12 Sep 2012,11 Mar 2016

Corporate Author:

University of Michigan - Ann Arbor Ann Arbor United States

Personal Author(s):

• Shin,Kang G

Report Date:

2019-04-16

Pagination or Media Count:

15.0

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.

Descriptors:

• cognitive radio
• wireless networks
• wireless sensor networks
• detection
• target tracking
• real time
• time domain
• frequency domain
• algorithms
• detectors

Subject Categories:

• Radio Communications

Distribution Statement:

APPROVED FOR PUBLIC RELEASE