A General Privacy-Preserving Auction Mechanism for Secondary Spectrum Markets

Huang, Qianyi; Gui, Yang; Wu, Fan; Chen, Guihai; Zhang, Qian

doi:10.1109/tnet.2015.2434217

Cited by 43 publications

(26 citation statements)

References 42 publications

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“…However, the Boneh-Goh-Nissim (BGN) cryptosystem involving the bilinear map and bilinear group [118] was used instead of the OPE to map and encrypt the bids. The simulation results in [117] showed that the satisfaction ratio, i.e., the percentage of winning bidders, of the proposed scheme can reach to one with the small number of bidders, i.e., less than 200. However, there is no numerical experiment to show the performance improvement related to the strategy-proofness as well as the privacy preserving.…”

Section: Grouping Results Grouping Resultsmentioning

confidence: 97%

“…By selecting the smallest bid as the representation bid of a non-conflict group, the approach in [117] allows the bidders in the group to receive more benefit since they only pay less price than their expected bids. However, such a low price causes a loss in revenue for the seller.…”

Section: Grouping Results Grouping Resultsmentioning

confidence: 99%

“…In practice, a bidder can request more channels in the auction. In this scenario, the solution in [117] can be applied. However, the bidder is first represented by elementary bidders, and each elementary bidder can be considered to be a buyer which requests one channel.…”

Section: Grouping Results Grouping Resultsmentioning

confidence: 99%

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Applications of Economic and Pricing Models for Wireless Network Security: A Survey

Luong

Hoang

Wang

et al. 2017

IEEE Commun. Surv. Tutorials

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Abstract-This paper provides a comprehensive literature review on applications of economic and pricing theory to security issues in wireless networks. Unlike wireline networks, the broadcast nature and the highly dynamic change of network environments pose a number of nontrivial challenges to security design in wireless networks. While the security issues have not been completely solved by traditional or system-based solutions, economic and pricing models recently were employed as one efficient solution to discourage attackers and prevent attacks to be performed. In this paper, we review economic and pricing approaches proposed to address major security issues in wireless networks including eavesdropping attack, Denial-of-Service (DoS) attack such as jamming and Distributed DoS (DDoS), and illegitimate behaviors of malicious users. Additionally, we discuss integrating economic and pricing models with cryptography methods to reduce information privacy leakage as well as to guarantee the confidentiality and integrity of information in wireless networks. Finally, we highlight important challenges, open issues and future research directions of applying economic and pricing models to wireless security issues.

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Section: Grouping Results Grouping Resultsmentioning

confidence: 97%

Section: Grouping Results Grouping Resultsmentioning

confidence: 99%

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Applications of Economic and Pricing Models for Wireless Network Security: A Survey

Luong

Hoang

Wang

et al. 2017

IEEE Commun. Surv. Tutorials

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“…Countermeasure solutions for these attacks have also been proposed, ranging from introducing randomness to multihop path selection [178], [179] to making the source nodes move randomly [8] to confuse the attackers. Unlike other wireless systems, location privacy preservation that addresses vulnerabilities in CRN s has not, however, received much attention, though several works related to spectrum sensing [11], [54], [55], [72], [180]- [182], spectrum auction bids [155], [183], subscriber identification [184], and database-driven DSA [54], [55], [180]- [182], [185] have been proposed.…”

Section: Limitations Of Generic Privacy Enhancingmentioning

confidence: 99%

Location Privacy in Cognitive Radio Networks: A Survey

Grissa

Hamdaoui

Yavuza

2017

IEEE Commun. Surv. Tutorials

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Cognitive radio networks (CRN s) have emerged as an essential technology to enable dynamic and opportunistic spectrum access which aims to exploit underutilized licensed channels to solve the spectrum scarcity problem. Despite the great benefits that CRN s offer in terms of their ability to improve spectrum utilization efficiency, they suffer from user location privacy issues. Knowing that their whereabouts may be exposed can discourage users from joining and participating in the CRN s, thereby potentially hindering the adoption and deployment of this technology in future generation networks. The location information leakage issue in the CRN context has recently started to gain attention from the research community due to its importance, and several research efforts have been made to tackle it. However, to the best of our knowledge, none of these works have tried to identify the vulnerabilities that are behind this issue or discuss the approaches that could be deployed to prevent it. In this paper, we try to fill this gap by providing a comprehensive survey that investigates the various location privacy risks and threats that may arise from the different components of this CRN technology, and explores the different privacy attacks and countermeasure solutions that have been proposed in the literature to cope with this location privacy issue. We also discuss some open research problems, related to this issue, that need to be overcome by the research community to take advantage of the benefits of this key CRN technology without having to sacrifice the users' privacy.

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“…Based on RSA, Juels and Szydlo proposed a privacy preserving auction mechanism with a reasonable computational complexity [41]. Specific to online applications, a number of auction mechanisms [20,21,25] get a good tradeoff between performance and security. Unfortunately, these works only consider bid protection, but ignore the problem of verification.…”

Section: Related Workmentioning

confidence: 99%

ERA: Towards privacy preservation and verifiability for online ad exchanges

Niu

Zhou

Zheng

et al. 2017

Journal of Network and Computer Applications

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Ad exchanges are kind of the most popular online advertising marketplaces for trading ad spaces over the Internet. Ad exchanges run auctions to sell diverse ad spaces on the publishers' web-pages to advertisers, who want to display ads on ad spaces. However, the parties in an ad auction cannot verify whether the auction is carried out correctly or not. Furthermore, the advertisers are usually unwilling to reveal their sensitive bids and identities. In this paper, we jointly consider the auction verifiability and the advertisers' privacy preservation, and thus propose ERA, which is an Efficient, pRivacy-preserving, and verifiAble online auction mechanism for ad exchanges. ERA exploits an order preserving encryption scheme to guarantee privacy preservation, and achieves verifiability by constructing a novel protocol of privacy preserving integer comparison, which is built on the Paillier homomorphic encryption scheme. We extensively evaluate the performance of ERA, and our evaluation results show that ERA satisfies several desirable properties with low computation, communication, and storage overheads, so ERA can be easily deployed in today's ad exchanges.

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A General Privacy-Preserving Auction Mechanism for Secondary Spectrum Markets

Cited by 43 publications

References 42 publications

Applications of Economic and Pricing Models for Wireless Network Security: A Survey

Applications of Economic and Pricing Models for Wireless Network Security: A Survey

Location Privacy in Cognitive Radio Networks: A Survey

ERA: Towards privacy preservation and verifiability for online ad exchanges

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