- Title
- An overview on smart contracts : challenges, advances and platforms
- Creator
- Zheng, Zibin; Xie, Shaoan; Dai, Hong-Ning; Chen, Weili; Imran, Muhammad
- Date
- 2020
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/184376
- Identifier
- vital:16490
- Identifier
-
https://doi.org/10.1016/j.future.2019.12.019
- Identifier
- ISBN:0167-739X (ISSN)
- Abstract
- Smart contract technology is reshaping conventional industry and business processes. Being embedded in blockchains, smart contracts enable the contractual terms of an agreement to be enforced automatically without the intervention of a trusted third party. As a result, smart contracts can cut down administration and save services costs, improve the efficiency of business processes and reduce the risks. Although smart contracts are promising to drive the new wave of innovation in business processes, there are a number of challenges to be tackled. This paper presents a survey on smart contracts. We first introduce blockchains and smart contracts. We then present the challenges in smart contracts as well as recent technical advances. We also compare typical smart contract platforms and give a categorization of smart contract applications along with some representative examples. © 2019 Elsevier B.V.
- Publisher
- Elsevier B.V.
- Relation
- Future Generation Computer Systems Vol. 105, no. (2020), p. 475-491
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2019 Elsevier B.V.
- Subject
- 4604 Cybersecurity and Privacy; 4606 Distributed Computing and Systems Software; Blockchain; Cryptocurrency; Decentralization; Smart contract
- Reviewed
- Funder
- The work described in this paper was supported by the National Key Research and Development Program, China ( 2016-YFB1000101 ), the National Natural Science Foundation of China under ( 61472338 ) and the Fundamental Research Funds for the Central Universities, China . Imran’s work is supported by the Deanship of Scientific Research at King Saud University, Saudi Arabia through the research group project number RG-1435-051
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