Secure multi-unit sealed first-price auction mechanisms

Li, Wei; Larson, Maya; Hu, Chunqiang; Li, Ruinian; Cheng, Xiuzhen; Bie, Rongfang

doi:10.1002/sec.1522

Cited by 18 publications

(6 citation statements)

References 23 publications

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“…We give a concrete example of Homomorphic encryption in an auction scheme here. In a privacy-preserving auction scheme [49,48,55,42,51], a group of n bidders submit their bidding values b i to an auctioneer. The auctioneer needs to compute the sum of the bidding values without seeing each individual bidding value.…”

Section: Methodsmentioning

confidence: 99%

Cryptographic algorithms for privacy-preserving online applications

Li¹,

Xiao²,

Zhang³

et al. 2018

Mathematical Foundations of Computing

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Privacy in online applications has drawn tremendous attention in recent years. With the development of cloud-based applications, protecting users' privacy while guaranteeing the expected service from the server has become a significant issue. This paper surveyed the most popular cryptographic algorithms in privacy-preserving online applications to provide a tutorial-like introduction to researchers in this area. Particularly, this paper focuses on introduction to homomorphic encryption, secret sharing, secure multi-party computation and zero-knowledge proof.

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Section: Methodsmentioning

confidence: 99%

Cryptographic algorithms for privacy-preserving online applications

Li¹,

Xiao²,

Zhang³

et al. 2018

Mathematical Foundations of Computing

Self Cite

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“…As privacy has been one of the most important issues in many real-world applications and is getting more and more attentions, it is inevitable that privacy protection will become a critical research direction to further promote widespread adoption of Bitcoin-based applications. Protecting privacy should take into account requirements of various application scenarios, such as Internet of Things (IoT) and online social networks, which could be inspired by many existing works [19,20,24,5,6,25,46,47,43,26,49,17,48,15,16]. 6.…”

Section: 4mentioning

confidence: 99%

A survey: Reward distribution mechanisms and withholding attacks in Bitcoin pool mining

Zhu¹,

Li²,

Li³

et al. 2018

Mathematical Foundations of Computing

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The past three years have seen the rapid increase of Bitcoin difficulty, which has led to a substantial variance in solo mining. As a result, miners tend to join a large open pool to get a more stable reward. Nowadays, mining pools take up over 98% of Bitcoins total computation power. In a sense, this is a manifestation of Bitcoin that tends to be centralized. Thus, researchers have shown an increased interest in pool mining payoff and security. The purpose of this paper is to review and summarize recent research in Bitcoin pool mining system. We first introduce several common reward distribution schemes, and analyze their advantages and disadvantages with some improvement mechanisms; In the second section, to address pool security problems, we examined the practical utility of some existing and potential attack strategies. To study those malicious attack in details, several defense methods are collected. Finally, we make an outlook on Bitcoin future.

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“…An auction-based mechanism where bidders send their bids to be evaluated by a third party agent could be a solution to this issue. Under this construct, the demands of higher bidders are fulfilled to maintain reliability of an electric grid, even in the peak hours [17].…”

Section: Introductionmentioning

confidence: 99%

Agent-Based Energy Consumption Scheduling for Smart Grids: An Auction-Theoretic Approach

et al. 2020

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The future smart grid would help to benefit both the users and the electricity providing companies from smart pricing techniques. In addition, smart pricing can be used to achieve social objectives and would in turn fluctuate wholesale market into demand side. Collecting abundant information regarding the users electricity consumption pattern is a challenging task for utility providing companies. That is, users may not be willing to expose their indigenous information without any incentive. In this paper an Optimal Energy Consumption Scheduling (OECS) mechanism is proposed to tackle this problem. An agent-based forecasting method is designed, which is capable of predicting energy consumption of each consumer with a lead-time of one hour. This forecasting is exploited to estimate the cost of buying required amount of energy from multiple suppliers. Consequently, based on the estimated required energy and cost, an auction mechanism is proposed to optimize the energy traded between consumers and multiple suppliers within a smart grid. The objectives include increased efficiency and cost reduction of electricity usage by the end users. The results and properties of the proposed OECS mechanism are studied, and it is shown that the auction technique is budget balanced for distribution of electrical energy among consumers from diverse renewable generation resources. Extensive numerical simulations are also conducted to show and prove the beneficial properties of OECS mechanism.

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Secure multi-unit sealed first-price auction mechanisms

Cited by 18 publications

References 23 publications

Cryptographic algorithms for privacy-preserving online applications

Cryptographic algorithms for privacy-preserving online applications

A survey: Reward distribution mechanisms and withholding attacks in Bitcoin pool mining

Agent-Based Energy Consumption Scheduling for Smart Grids: An Auction-Theoretic Approach

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