Bibliographic Details
Title: |
A rational delegating computation protocol based on reputation and smart contract |
Authors: |
Juan Ma, Yuling Chen, Ziping Wang, Guoxu Liu, Hongliang Zhu |
Source: |
Journal of Cloud Computing: Advances, Systems and Applications, Vol 10, Iss 1, Pp 1-12 (2021) |
Publisher Information: |
SpringerOpen, 2021. |
Publication Year: |
2021 |
Collection: |
LCC:Computer engineering. Computer hardware LCC:Electronic computers. Computer science |
Subject Terms: |
Rational delegating computation, Smart contract, Nash equilibrium, Incentive contract, Reputation mechanism, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95 |
More Details: |
Abstract 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. |
Document Type: |
article |
File Description: |
electronic resource |
Language: |
English |
ISSN: |
2192-113X |
Relation: |
https://doaj.org/toc/2192-113X |
DOI: |
10.1186/s13677-021-00267-1 |
Access URL: |
https://doaj.org/article/cf9f2364a72d42d3ba4216adb39045e1 |
Accession Number: |
edsdoj.f9f2364a72d42d3ba4216adb39045e1 |
Database: |
Directory of Open Access Journals |