Title
Privacy-preserving Crowd-sensing for Dynamic Spectrum Access
Abstract
Dynamic spectrum access (DSA) is a well established paradigm which addresses the spectrum shortage caused by the rapid growth of connected wireless devices. In contrast to the legacy fixed spectrum allocation policies, DSA allows license-exempt users to access the licensed spectrum bands when not in use by their respective owners. While the database-driven DSA model is well suited for the TV white-space databases, other more fluid spectrum opportunities, such as the NOAA spectrum bands, remain exploreable only by either a solitary cyclostationary or multinodal cooperative signal detection and classification. While the multinodal, cooperative method offers improved signal detection and classification over solitary cyclostationary sensing, it does not provide any means of preserving the user's location privacy. Furthermore, both sensing methods suffer from very large delay due in part from the quiet periods they need to undergo in order to identify incumbent signal. To this end, we propose a location privacy-preserving crowd-sensing scheme for the DSA paradigm. Our proposed method provides location privacy for the crowd-sensing workers by leveraging the ElGamal cryptographic primitive, and it provides query obfuscation for the querying user through the k-anonymity paradigm. Through extensive experimentation, we show that our method is efficient for a realistic deployment.
Year
DOI
Venue
2019
10.1109/MILCOM47813.2019.9020713
MILCOM 2019 - 2019 IEEE Military Communications Conference (MILCOM)
Keywords
DocType
ISSN
k-anonymity paradigm,user querying,query obfuscation,ElGamal cryptographic primitive,user location privacy,multinodal cooperative method,multinodal cooperative signal classification,dynamic spectrum access,DSA paradigm,location privacy-preserving crowd-sensing scheme,sensing methods,solitary cyclostationary sensing,multinodal cooperative signal detection,NOAA spectrum bands,fluid spectrum opportunities,TV white-space databases,database-driven DSA model,licensed spectrum bands,license-exempt users,legacy fixed spectrum allocation policies,connected wireless devices,spectrum shortage
Conference
2155-7578
ISBN
Citations 
PageRank 
978-1-7281-4281-4
0
0.34
References 
Authors
6
2
Name
Order
Citations
PageRank
Erald Troja100.34
Joshua Gitter200.34