A new entropic criterion model in rational secure two-party computation

Zhang, Xinyu; Liu, Yujun; Chen, Yuling

doi:10.1007/s12652-020-02633-4

Cited by 4 publications

(4 citation statements)

References 18 publications

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“…Wang et al 21 construct the player's utility function through information entropy, and use belief to solve the player's fairness problem. Zhang et al 23 predeposit deposits and construct agreements to make players choose honest strategies to achieve the fairness of the agreement. Based on TTP, the protocol proposed by Ah‐Fat et al 24 also achieves fairness, but due to the existence of TTP, this will lead to leakage of the privacy of the agreement.…”

Section: Simulations and Resultsmentioning

confidence: 99%

“…The proof and analysis results show that players gain utility when they comply with the protocol. What's more, when the player chooses a (2) Zhang et al 23 Safety within threshold Yes Deposit…”

Section: Discussionmentioning

confidence: 99%

“…Since then, lots of research on the uncertainty of measuring events by information entropy have been done 20 . In addition, the researchers studied the fairness, 21 security, 22,23 and privacy 24 issues in SMC based on information entropy. In particular, Yang et al 25 proposed the idea of direction entropy based on information entropy.…”

Section: Introductionmentioning

confidence: 99%

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DE‐RSTC: A rational secure two‐party computation protocol based on direction entropy

Chen

Wang

et al. 2022

Int J of Intelligent Sys

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Rational secure multi-party computation means two or more rational parties complete a function on private inputs. Unfortunately, players sending false information can prevent the protocol from executing correctly, which will destroy the fairness of the protocol. To ensure the fairness of the protocol, the existing works on achieving fairness by specific utility functions. In this paper, we leverage game theory to propose the direction entropy-based solution. To this end, we utilize the direction entropy to examine the player's strategy uncertainty and quantify its strategy from different dimensions. Then, we provide mutual information to construct a new utility for the players.What's more, we measure the mutual information of players to appraise their strategies. By analyzing and proofing of protocol, we show that the protocol reaches a Nash equilibrium when players choose a cooperative strategy. Furthermore, we

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Section: Simulations and Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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DE‐RSTC: A rational secure two‐party computation protocol based on direction entropy

Chen

Wang

et al. 2022

Int J of Intelligent Sys

Self Cite

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“…Kupcu et al [5] designed an incentive mechanism for rational delegating computation, which motivated the computing party to correctly executed the protocol and effectively prevented malicious computing parties from improper behavior. Zhang et al [6,7] combined game theory and safety entropy to design an entropy criterion model for rational secure two-party computation. This model selected the optimal utility function within the range of the safety entropy threshold through the relationship between safety entropy and utility function.…”

Section: Introductionmentioning

confidence: 99%

A rational delegating computation protocol based on reputation and smart contract

Chen

Wang

et al. 2021

J Cloud Comp

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The delegating computation has become an irreversible trend, together comes the pressing need for fairness and efficiency issues. To solve this problem, we leverage game theory to propose a smart contract-based solution. First, according to the behavioral preferences of the participants, we design an incentive contract to describe the motivation of the participants. Next, to satisfy the fairness of the rational delegating computation, we propose a rational delegating computation protocol based on reputation and smart contract. More specifically, rational participants are to gain the maximum utility and reach the Nash equilibrium in the protocol. Besides, we design a reputation mechanism with a reputation certificate, which measures the reputation from multiple dimensions. The reputation is used to assure the client’s trust in the computing party to improve the efficiency of the protocol. Then, we conduct a comprehensive experiment to evaluate the proposed protocol. The simulation and analysis results show that the proposed protocol solves the complex traditional verification problem. We also conduct a feasibility study that involves implementing the contracts in Solidity and running them on the official Ethereum network. Meanwhile, we prove the fairness and correctness of the protocol.

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