The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Blockchain-Enabled Smart Contracts: Architecture, Applications, and Future Trends
Abstract
In recent years, the rapid development of cryptocurrencies and their underlying blockchain technology has revived Szabo’s original idea of smart contracts, i.e., computer protocols that are designed to automatically facilitate, verify, and enforce the negotiation and implementation of digital contracts without central authorities. Smart contracts can find a wide spectrum of potential application scenarios in the digital economy and intelligent industries, including financial services, management, healthcare, and Internet of Things, among others, and also have been integrated into the mainstream blockchain-based development platforms, such as Ethereum and Hyperledger. However, smart contracts are still far from mature, and major technical challenges such as security and privacy issues are still awaiting further research efforts. For instance, the most notorious case might be “The DAO Attack” in June 2016, which led to more than $50 million Ether transferred into an adversary’s account. In this paper, we strive to present a systematic and comprehensive overview of blockchain-enabled smart contracts, aiming at stimulating further research toward this emerging research area. We first introduced the operating mechanism and mainstream platforms of blockchain-enabled smart contracts, and proposed a research framework for smart contracts based on a novel six-layer architecture. Second, both the technical and legal challenges, as well as the recent research progresses, are listed. Third, we presented several typical application scenarios. Toward the end, we discussed the future development trends of smart contracts. This paper is aimed at providing helpful guidance and reference for future research efforts.
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Cites
Reinforcement Learning: A Survey
Kaelbling, L. P., Littman, M. L., & Moore, A. W. (1996) · Journal of Artificial Intelligence Research · doi:10.1613/jair.301 · Cited by 8,972
Blockchains and smart contracts for the internet of things
Christidis, K., & Devetsikiotis, M. (2016) · IEEE Access · doi:10.1109/access.2016.2566339 · Cited by 4,552
Hawk: The Blockchain Model of Cryptography and Privacy-Preserving Smart Contracts
Kosba, A., Miller, A., Shi, E., Wen, Z., & Papamanthou, C. (2016) · 2016 IEEE Symposium on Security and Privacy (SP) · doi:10.1109/sp.2016.55 · Cited by 2,227
Blockchain for IoT security and privacy: The case study of a smart home
Dorri, A., Kanhere, S. S., Jurdak, R., & Gauravaram, P. (2017) · 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) · doi:10.1109/percomw.2017.7917634 · Cited by 1,843 · cited 1×
“Simulation results indicate that the overheads introduced by the proposed method is relatively low [27-28].”
BackgroundA Survey of Attacks on Ethereum Smart Contracts (SoK)
Atzei, N., Bartoletti, M., & Cimoli, T. (2017) · Lecture Notes in Computer Science · doi:10.1007/978-3-662-54455-6_8 · Cited by 1,553
Risius, M., & Spohrer, K. (2017) · Business & Information Systems Engineering · doi:10.1007/s12599-017-0506-0 · Cited by 803
Smart contract-based access control for the internet of things
Zhang, Y., Kasahara, S., Shen, Y., Jiang, X., & Wan, J. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2847705 · Cited by 788
Towards blockchain-based intelligent transportation systems
Yuan, Y., & Wang, F.-Y. (2016) · 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc.2016.7795984 · Cited by 671
Self-citationPrivacy-preserving Blockchain-based electric vehicle charging with dynamic tariff decisions
Knirsch, F., Unterweger, A., & Engel, D. (2018) · Computer Science - Research and Development · doi:10.1007/s00450-017-0348-5 · Cited by 238
Research works printed but not linked: 53
- 10.3390/fi10020020 · DOI · Paper page
- 2018, ASX Chess Replacement
- caytas, 2017, Blockchain in the U.S. regulatory setting: Evidentiary use in Vermont, Delaware, and elsewhere, Columbia Science and Technology Law Review
- 10.1109/GCCE.2015.7398721 · DOI
- 10.1109/TSMC.2018.2867497 · DOI
- bliss, 2006, Derivatives clearing and settlement: A comparison of central counterparties and alternative structures, The Journal of Economic Perspectives, 30, 22
- 10.1109/TSMC.2017.2752203 · DOI
- 10.1007/978-3-319-42019-6_10 · DOI
- hansen, 2017, Legal aspects of smart contract applications
- wang, 2015, Software-defined systems and knowledge automation: A parallel paradigm shift from Newton to Merton, ACTA Automatica Sinica, 41, 1
- 10.1109/TSC.2012.24 · DOI
- 10.1111/j.1468-2478.2009.00560.x · DOI
- 10.1109/TCSS.2018.2832379 · DOI
- 10.1145/2976749.2978362 · DOI
- 10.1145/2976749.2978326 · DOI · Paper page
- 2018, U S Securities and Exchange Commission Investor Bulletin Initial Coin Offerings
- szabo, 1997, The Idea of Smart Contracts
- szabo, 1996, Smart contracts Building blocks for digital markets
- 10.1007/978-3-662-53357-4_6 · DOI · Paper page
- siegel, 2018, Understanding the dao attack
- 10.1109/TCSS.2018.2861423 · DOI
- 10.1145/3243734.3243780 · DOI · Paper page
- greenspan, 2018, Why many smart contract use cases are simply impossible
- 10.1145/3087801.3087835 · DOI
- 10.1109/ACCESS.2017.2730843 · DOI · Paper page
- 10.1109/TCSS.2018.2861224 · DOI
- poon, 2017, Plasma Scalable autonomous smart contracts
- ro?u, 2010, An overview of the K semantic framework, Journal of Logic and Algebraic Programming, 79, 397, 10.1016/j.jlap.2010.03.012 · DOI · Paper page
- 10.1109/CSF.2018.00022 · DOI
- 10.1007/978-3-319-70278-0_33 · DOI
- amani, 2018, Towards verifying Ethereum smart contract bytecode in Isabelle/HOL, Proc 7th ACM SIGPLAN Int Conf Certified Progr Proofs (CPP), 66
- 10.1109/Cybermatics_2018.2018.00224 · DOI
- 10.1109/ICSA.2017.33 · DOI · Paper page
- 10.24251/HICSS.2017.186 · DOI
- peyton, 2017, Mizuho Trials Australia–Japan Trade Transaction on Blockchain
- 10.1145/2976749.2978309 · DOI · Paper page
- 10.1145/1978542.1978559 · DOI · Paper page
- georgeff, 1998, The belief-desire-intention model of agency, Proc 3rd Int Workshop Agent Theor Arch Lang, 1
- 2018, What is DAO?
- 10.2218/finsoc.v2i2.1724 · DOI
- 10.5121/csit.2017.71011 · DOI
- nakamoto, 2008, Bitcoin A Peer-to-Peer Electronic Cash System
- stark, 2016, Making Sense of Blockchain Smart Contracts
- 10.1109/WICSA.2016.21 · DOI · Paper page
- 10.1109/TSMC.2018.2854904 · DOI · Paper page
- 10.1145/2993600.2993611 · DOI
- 2018, Ethereum Yellow Paper
- 2018, Promising Blockchain Applications for Energy Separating the Signal From the Noise
- 10.1145/3054977.3055003 · DOI · Paper page
- 10.1109/ICCCN.2017.8038519 · DOI · Paper page
- de la rosa, 2016, On intellectual property in online open innovation for SME by means of blockchain and smart contracts, Proc 3rd Annu World Open Innov Conf (WOIC), 1
- ayed, 2017, A conceptual secure blockchain-based electronic voting system, Int J Netw Security Appl, 9, 1
- 10.1007/978-3-319-70972-7_20 · DOI · Paper page
Cited by
Decentralized autonomous organizations: concept, model, and applications
Wang, S., Ding, W., Li, J., Yuan, Y., Ouyang, L., & Wang, F.-Y. (2019) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2019.2938190 · Cited by 390
Self-citationSanka, A. I., Irfan, M., Huang, I., & Cheung, R. C. C. (2021) · Computer Communications · doi:10.1016/j.comcom.2020.12.028 · Cited by 265
A comprehensive survey on blockchain technology
Rajasekaran, A. S., Azees, M., & Al-Turjman, F. (2022) · Sustainable Energy Technologies and Assessments · doi:10.1016/j.seta.2022.102039 · Cited by 225
When Machine Learning Meets Privacy in 6G: A Survey
Sun, Y., Liu, J., Wang, J., Cao, Y., & Kato, N. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.3011561 · Cited by 211
Ante, L. (2023) · Economics of Innovation and New Technology · doi:10.1080/10438599.2022.2119564 · Cited by 255
Metadata
- Authors
- Wang, S., Ouyang, L., Yuan, Y., Ni, X., Han, X., & Wang, F.-Y.
- Venue
- IEEE Transactions on Systems, Man, and Cybernetics: Systems
- Published
- 2019-11
- Volume
- 49
- Issue
- 11
- Pages
- 2266-2277
- ISSN
- 2168-2216 (ISSN-L)
- 2168-2232
- OpenAlex
- W2914735843
- Cited by
- 1,157
- References
- 9
- FWCI
- 157.14
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Funders
- National Natural Science Foundation of China (71472174, 61533019, 71232006, 61233001, 61702519, 71702182)
- Qingdao Think-Tank Foundation on Intelligent Industries
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- Wang, S., Ouyang, L., Yuan, Y., Ni, X., Han, X., & Wang, F.-Y. (2019). Blockchain-Enabled Smart Contracts: Architecture, Applications, and Future Trends. IEEE Transactions on Systems, Man, and Cybernetics: Systems. https://doi.org/10.1109/tsmc.2019.2895123
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