Distributed Secure Compressive Spectrum Sensing in Wireless Cognitive Radio Networks

Free registration required

Executive Summary

The authors propose the distributed secure Compressed Spectrum Sensing (CSS) scheme to defend against the Spectrum Sensing Data Falsification (SSDF) attack, which is one of the most important threats to the spectrum sensing for wireless cognitive radio networks, by exploiting the sparsity of the primary signals' frequency utilization. In their proposed scheme, each activated secondary user performs the CSS locally to scan the very wide spectrum of the primary signals at the sub-Nyquist rates. Meanwhile, the global fusion center fuses the local spectrum detection results sent from the multiple secondary users by using their proposed global data fusion scheme, which evaluates the reputation of each activated secondary users, and get the final Distributed Spectrum Sensing (DSS) result.

  • Format: PDF
  • Size: 409.7 KB