@inproceedings{1cf2c63976b24e25a302ab596176b737,
title = "Blockchain-based threshold electronic voting system",
abstract = "In this paper, we propose a secure blockchain-based electronic voting (e-voting) system with distributed authorities. Specifically, we employ threshold blind signature to distribute trust for registration; and threshold ElGamal decryption to distribute trust in ballots tallying. Combining these techniques with decentralized blockchain technology, our system can achieve verifiability, eligibility, fairness and anonymity with reduced trust. We also analyze the efficiency of our system by implementing the proposed e-voting system on a typical laptop for performance evaluation. Our system is efficient enough to be employed in practice based on the experiment results.",
keywords = "Blind signature, Blockchain, Electronic voting, Threshold cryptosystem",
author = "Borui Gong and Xingye Lu and Fat, {Lau Wang} and Au, {Man Ho}",
note = "Funding Information: We appreciate the anonymous reviewers for their valuable suggestions. Part of this work was supported by the National Natural Science Foundation of China (Grant No. 61602396), Early Career Scheme research grant (ECS Grant No. 25206317) from the Research Grant Council of Hong Kong, the Innovation and Technology Support Programme of Innovation and Technology Fund of Hong Kong (Grant No. ITS/356/17), and the MonashU-PolyU-Collinstar Capital Joint Lab on Blockchain. Funding Information: Acknowledgment. We appreciate the anonymous reviewers for their valuable suggestions. Part of this work was supported by the National Natural Science Foundation of China (Grant No. 61602396), Early Career Scheme research grant (ECS Grant No. 25206317) from the Research Grant Council of Hong Kong, the Innovation and Technology Support Programme of Innovation and Technology Fund of Hong Kong (Grant No. ITS/356/17), and the MonashU-PolyU-Collinstar Capital Joint Lab on Blockchain. Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2019.; 5th International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2019 ; Conference date: 14-07-2019 Through 17-07-2019",
year = "2019",
doi = "10.1007/978-981-15-0758-8_18",
language = "English",
isbn = "9789811507571",
series = "Communications in Computer and Information Science",
publisher = "Springer",
pages = "238--250",
editor = "Weizhi Meng and Steven Furnell",
booktitle = "Security and Privacy in Social Networks and Big Data - 5th International Symposium, SocialSec 2019, Revised Selected Papers",
}