A Multi-Candidate Self-Tallying Voting Scheme Based on Smart Contracts

Author:

Dai Xingan1,Zhou Xinquan1,Zhou Dehua1ORCID,Zhong Jinhan1,Hong Chao2

Affiliation:

1. College of Information Science and Technology, Jinan University, Guangzhou 510632, China

2. CSG Electric Power Research Institute Co., Ltd., Guangzhou 510663, China

Abstract

In this paper, we propose a smart contract-based multi-candidate self-tallying voting scheme in order to guarantee the privacy of ballots in the case of multiple candidates. This scheme uses the ElGamal cryptosystem to ensure the security of the ballots, and combines it with a Distributed Encryption algorithm to make the voting scheme have self-tallying features, and guarantees the correctness of the intermediate data through zero-knowledge proofs. The experimental results show that the scheme improves the voting efficiency without compromising the security.

Funder

Guangdong Provincial Key Laboratory of Power System Network Security

Publisher

MDPI AG

Reference25 articles.

1. A Study on the Current Status and Development of Blockchain Technology in the Intelligent Management of Electric Vehicles;Wang;South. Power Grid Technol.,2022

2. Blockchain Technology-based Coordination Strategy for Electric Vehicles and Distributed Energy Interconnection;Tang;South. Power Grid Technol.,2022

3. Mannonov, K.M.U., and Myeong, S. (2024). Citizens’ Perception of Blockchain-Based E-Voting Systems: Focusing on TAM. Sustainability, 16.

4. Untraceable electronic mail, return addresses, and digital pseudonyms;Chaum;Commun. ACM,1981

5. Khader, D., Smyth, B., Ryan, P., and Hao, F. (2012, January 11–14). A fair and robust voting system by broadcast. Proceedings of the 5th International Conference on Electronic Voting, EVOTE 2012, Bregenz, Austria. Lecture Notes in Informatics.

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