Reliable Telemetry in White Spaces using Remote Attestation

We consider reliable telemetry in white spaces in the form of protecting the integrity of distributed
spectrum measurements against coordinated misreporting attacks. Our focus is on the case where a
subset of the sensors can be remotely attested. We propose a practical framework for using statistical
sequential estimation coupled with machine learning classifiers to deter attacks and achieve quantifiably
precise outcome. We provide an application-oriented case study in the context of spectrum measurements
in the white spaces. The study includes a cost analysis for remote attestation, as well as an evaluation
using real transmitter and terrain data from the FCC and NASA for Southwest Pennsylvania. The results
show that with as low as 15% penetration of attestation-capable nodes, more than 94% of the attempts
from omniscient attackers can be thwarted.

Author(s):

Omid Fatemieh    
University of Illinois at Urbana Champaign
United States

Michael LeMay    
University of Illinois at Urbana Champaign
United States

Carl A. Gunter    
University of Illinois at Urbana Champaign
United States