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Deepika Shetty
Independent Researcher
India
Abstract
With the exponential growth of cloud storage and smart grid systems, ensuring secure access and timely fault detection has become paramount. This manuscript explores two distinct yet interconnected technological domains: blockchain-based access control for cloud data storage and the application of the Internet of Things (IoT) in smart grid fault detection and isolation. Before 2021, innovations in blockchain laid the groundwork for decentralized and tamper-proof access frameworks that strengthened data privacy and user authentication in cloud environments. Simultaneously, IoT systems were employed in power distribution networks to enhance real-time monitoring, predictive fault detection, and self-healing capabilities. This study examines the core contributions and limitations in both areas, draws comparisons across notable frameworks and solutions, and statistically evaluates the extent of their real-world applications. Through a methodological review and results derived from secondary data analysis, the manuscript aims to consolidate the academic and industrial contributions prior to 2021. The dual focus highlights the potential synergy between secure data access mechanisms and intelligent grid infrastructure, offering insights for future integration across emerging cyber-physical systems.
Keywords
Blockchain, Cloud Storage, IoT, Smart Grid, Fault Detection, Access Control, Cybersecurity
REFERENCES
- Zheng, Z., Xie, S., Dai, H., Chen, X., & Wang, H. (2017). An overview of blockchain technology: Architecture, consensus, and future trends. Proceedings of 2017 IEEE International Congress on Big Data, 557–564. https://doi.org/10.1109/BigDataCongress.2017.85
- Zyskind, G., Nathan, O., & Pentland, A. (2015). Decentralizing privacy: Using blockchain to protect personal data. 2015 IEEE Security and Privacy Workshops, 180–184. https://doi.org/10.1109/SPW.2015.27
- Xu, R., Rahman, M. A., & Srivastava, G. (2018). A blockchain-based framework for data sharing with fine-grained access control in decentralized storage systems. Proceedings of 2018 IEEE International Conference on Blockchain, 50–59. https://doi.org/10.1109/Blockchain.2018.00013
- Ali, W., & Awad, A. I. (2018). Cyber security for cloud computing: A review. Computers & Electrical Engineering, 72, 398–408. https://doi.org/10.1016/j.compeleceng.2018.08.039
- 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, 49(11), 2266–2277. https://doi.org/10.1109/TSMC.2019.2895123
- Dorri, A., Steger, M., Kanhere, S. S., & Jurdak, R. (2017). Blockchain: A distributed solution to automotive security and privacy. IEEE Communications Magazine, 55(12), 119–125. https://doi.org/10.1109/MCOM.2017.1700879
- Fan, K., Jiang, W., Li, H., Yang, Y., & Shen, J. (2018). A blockchain-based data sharing scheme for electronic medical records. Journal of Medical Systems, 42(8), 141. https://doi.org/10.1007/s10916-018-0997-7
- Li, X., Jiang, P., Chen, T., Luo, X., & Wen, Q. (2018). A survey on the security of blockchain systems. Future Generation Computer Systems, 107, 841–853. https://doi.org/10.1016/j.future.2017.08.020
- Zhang, Y., Kasahara, S., Shen, Y., Jiang, X., & Wan, J. (2018). Smart contract-based access control for the Internet of Things. IEEE Internet of Things Journal, 6(2), 1594–1605. https://doi.org/10.1109/JIOT.2018.2847705
- Yue, X., Wang, H., Jin, D., Li, M., & Jiang, W. (2016). Healthcare data gateways: Found healthcare intelligence on blockchain with novel privacy risk control. Journal of Medical Systems, 40(10), 218. https://doi.org/10.1007/s10916-016-0574-6
- Esposito, C., Castiglione, A., & Choo, K. K. R. (2018). Challenges in delivering software in the cloud as a service. IEEE Cloud Computing, 5(4), 44–52. https://doi.org/10.1109/MCC.2018.043711664
- Liu, Y., Yu, F. R., Teng, Y., Leung, V. C. M., & Song, M. (2019). Distributed resource allocation in blockchain-based video streaming systems with mobile edge computing. IEEE Transactions on Wireless Communications, 18(1), 695–708. https://doi.org/10.1109/TWC.2018.2884928