A cloud-based framework for verifiable privacy-preserving spectrum auction

Spectrum auction is one of the most effective ways to achieve dynamic spectrum allocation in cognitive radio networks, and it provides one effective way to manage the spectrum demands of IoT devices with limited resources. Most spectrum auctions focus on protecting bidder privacy and achieving excel...

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Autores principales:	Ruinian Li, Tianyi Song, Bo Mei, Chunqiang Hu, Wei Li, Maya Larson, Xiuzhen Cheng, Rongfang Bie
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2022
Materias:	Homomorphic encryption Re-encryption Spectrum auction Privacy-preservation auction Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/f821505c84da4654a90dbe6136ecbd1a
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id	oai:doaj.org-article:f821505c84da4654a90dbe6136ecbd1a
record_format	dspace
spelling	oai:doaj.org-article:f821505c84da4654a90dbe6136ecbd1a2021-11-20T05:16:11ZA cloud-based framework for verifiable privacy-preserving spectrum auction2667-295210.1016/j.hcc.2021.100037https://doaj.org/article/f821505c84da4654a90dbe6136ecbd1a2022-03-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2667295221000271https://doaj.org/toc/2667-2952Spectrum auction is one of the most effective ways to achieve dynamic spectrum allocation in cognitive radio networks, and it provides one effective way to manage the spectrum demands of IoT devices with limited resources. Most spectrum auctions focus on protecting bidder privacy and achieving excellent social efficiency, but few tackles the verification of auction results that are controlled by the auctioneer. In this paper, we propose a cloud-based framework for verifiable privacy-preserving spectrum auctions. Our framework adopts a modified AFGH re-encryption algorithm that achieves both bid privacy protection and auction results verification at the same time. The cloud server helps to compute auction results based on homomorphic encryption, and an auctioneer decrypts the encrypted data from the server to obtain auction results. Meanwhile, the property of re-encryption makes it possible for any bidder to verify the auction results without compromising other bidders’ privacy.Ruinian LiTianyi SongBo MeiChunqiang HuWei LiMaya LarsonXiuzhen ChengRongfang BieElsevierarticleHomomorphic encryptionRe-encryptionSpectrum auctionPrivacy-preservation auctionElectronic computers. Computer scienceQA75.5-76.95ENHigh-Confidence Computing, Vol 2, Iss 1, Pp 100037- (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	Homomorphic encryption Re-encryption Spectrum auction Privacy-preservation auction Electronic computers. Computer science QA75.5-76.95
spellingShingle	Homomorphic encryption Re-encryption Spectrum auction Privacy-preservation auction Electronic computers. Computer science QA75.5-76.95 Ruinian Li Tianyi Song Bo Mei Chunqiang Hu Wei Li Maya Larson Xiuzhen Cheng Rongfang Bie A cloud-based framework for verifiable privacy-preserving spectrum auction
description	Spectrum auction is one of the most effective ways to achieve dynamic spectrum allocation in cognitive radio networks, and it provides one effective way to manage the spectrum demands of IoT devices with limited resources. Most spectrum auctions focus on protecting bidder privacy and achieving excellent social efficiency, but few tackles the verification of auction results that are controlled by the auctioneer. In this paper, we propose a cloud-based framework for verifiable privacy-preserving spectrum auctions. Our framework adopts a modified AFGH re-encryption algorithm that achieves both bid privacy protection and auction results verification at the same time. The cloud server helps to compute auction results based on homomorphic encryption, and an auctioneer decrypts the encrypted data from the server to obtain auction results. Meanwhile, the property of re-encryption makes it possible for any bidder to verify the auction results without compromising other bidders’ privacy.
format	article
author	Ruinian Li Tianyi Song Bo Mei Chunqiang Hu Wei Li Maya Larson Xiuzhen Cheng Rongfang Bie
author_facet	Ruinian Li Tianyi Song Bo Mei Chunqiang Hu Wei Li Maya Larson Xiuzhen Cheng Rongfang Bie
author_sort	Ruinian Li
title	A cloud-based framework for verifiable privacy-preserving spectrum auction
title_short	A cloud-based framework for verifiable privacy-preserving spectrum auction
title_full	A cloud-based framework for verifiable privacy-preserving spectrum auction
title_fullStr	A cloud-based framework for verifiable privacy-preserving spectrum auction
title_full_unstemmed	A cloud-based framework for verifiable privacy-preserving spectrum auction
title_sort	cloud-based framework for verifiable privacy-preserving spectrum auction
publisher	Elsevier
publishDate	2022
url	https://doaj.org/article/f821505c84da4654a90dbe6136ecbd1a
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A cloud-based framework for verifiable privacy-preserving spectrum auction

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