Towards Secure and Verifiable Database-Driven Spectrum Sharing

Zhili Chen, Lin Chen, Hong Zhong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Database-driven spectrum access is regarded as an effective spectrum redistribution mechanism. However, dialoguing with the spectrum database requires both primary and secondary users to reveal their sensitive data to the spectrum database manager (SDM), leading to serious privacy concerns. In this paper, we show that the SDM can perform database operations (both updates and queries) without knowing any information about the users' sensitive inputs and the database contents, by combining garbled circuits and secret sharing. Our design uses data-oblivious sorting networks to leverage parallelism of query operations, yielding an efficient query algorithm. We further combine secure computations with authentication techniques to get a verification mechanism for correctness checking. As far as we know, our proposal is the first secure and verifiable database-driven spectrum sharing scheme protecting both primary users' (PUs') and secondary users' (SUs') privacies. Finally, we fully implement our system, and demonstrate that even on commodity PC, our implementation suffers mild performance overhead.

Original languageEnglish
Title of host publicationProceedings - 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages285-296
Number of pages12
ISBN (Electronic)9781538605417
DOIs
StatePublished - 30 Aug 2017
Externally publishedYes
Event47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2017 - Denver, United States
Duration: 26 Jun 201729 Jun 2017

Publication series

NameProceedings - 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2017

Conference

Conference47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2017
Country/TerritoryUnited States
CityDenver
Period26/06/1729/06/17

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