The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Smart Contract Privacy Protection Using AI in Cyber-Physical Systems: Tools, Techniques and Challenges
Open accessAbstract
Applications of Blockchain (BC) technology and Cyber-Physical Systems (CPS) are increasing exponentially. However, framing resilient and correct smart contracts (SCs) for these smart application is a quite challenging task because of the complexity associated with them. SC is modernizing the traditional industrial, technical, and business processes. It is self-executable, self-verifiable, and embedded into the BC that eliminates the need for trusted third-party systems, which ultimately saves administration as well as service costs. It also improves system efficiency and reduces the associated security risks. However, SCs are well encouraging the new technological reforms in Industry 4.0, but still, various security and privacy challenges need to be addressed. In this paper, a survey on SC security vulnerabilities in the software code that can be easily hacked by a malicious user or may compromise the entire BC network is presented. As per the literature, the challenges related to SC security and privacy are not explored much by the authors around the world. From the existing proposals, it has been observed that designing a complex SCs cannot mitigate its privacy and security issues. So, this paper investigates various Artificial Intelligence (AI) techniques and tools for SC privacy protection. Then, open issues and challenges for AI-based SC are analyzed. Finally, a case study of retail marketing is presented, which uses AI and SC to preserve its security and privacy.
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Cited by
Pivoto, D. G. S., de Almeida, L. F. F., da Rosa Righi, R., Rodrigues, J. J. P. C., Lugli, A. B., & Alberti, A. M. (2021) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2020.11.017 · Cited by 494
Blockchain for the Internet of Vehicles Towards Intelligent Transportation Systems: A Survey
Mollah, M. B., Zhao, J., Niyato, D., Guan, Y. L., Yuen, C., Sun, S., Lam, K.-Y., & Koh, L. H. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3028368 · Cited by 425
Kumar, S., Lim, W. M., Sivarajah, U., & Kaur, J. (2022) · Information Systems Frontiers · doi:10.1007/s10796-022-10279-0 · Cited by 359
Fan, Z., Yan, Z., & Wen, S. (2023) · Sustainability · doi:10.3390/su151813493 · Cited by 346
A Novel Smart Healthcare Design, Simulation, and Implementation Using Healthcare 4.0 Processes
Kumar, A., Krishnamurthi, R., Nayyar, A., Sharma, K., Grover, V., & Hossain, E. (2020) · IEEE Access · doi:10.1109/access.2020.3004790 · Cited by 293
Metadata
- Authors
- Gupta, R., Tanwar, S., Al-Turjman, F., Italiya, P., Nauman, A., & Kim, S. W.
- Venue
- IEEE Access
- Published
- 2020
- Volume
- 8
- Pages
- 24746-24772
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W3003326204
- Cited by
- 256
- References
- 10
- FWCI
- 41.38
- Type
- journal article
- Language
- en
- Open access
- gold
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