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https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16728
Title: | A Blockchain-Centered Strategy for Ensuring Secure Data Sharing With Management Keys In IOT Environments |
Authors: | Venkatasubramanian, S Thilagavathi, P Londhe, Gaurav Vishnu Ravi, A Tiwari, Geeta Manoharmayum, Dolpriya Devi |
Keywords: | Accountability Blockchain Data Integrity Decentralization Iot Environments Management Keys Secure Data Sharing |
Issue Date: | 2024 |
Publisher: | Proceedings - 3rd International Conference on Advances in Computing, Communication and Applied Informatics, ACCAI 2024 Institute of Electrical and Electronics Engineers Inc. |
Abstract: | Within the context of the Internet of Things (IoT), this study presents a novel approach that makes use of blockchain technology to guarantee the safety of data that is involved in the environment. The internet of things (IoT) trend has become more widespread, which has resulted in an increased demand for robust security methods. When it comes to providing the necessary position of security and sequester protection, traditional centralized approaches regularly and unexpectedly fail to meet expectations. In order to facilitate secure data sharing among Internet of Things bias, our proposed solution makes use of blockchain technology as a decentralized tally. The utilization of operation keys, the restriction of allowed access, and the preservation of data integrity are the means by which essential operations are accomplished. Through the implementation of blockchain technology, our strategy further improves the transparency, invariability, and responsibility of the data. In a similar vein, it reduces the risks that are associated with centralized control points and single points of failure. Using theoretical analysis and simulation experiments, we establish the efficacy and efficiency of our suggested technique in ensuring the secure sharing of data inside Internet of Things ecosystems. This paves the way for the abandonment of blockchain-based solutions in Internet of Things security. © 2024 IEEE. |
URI: | https://doi.org/10.1109/ACCAI61061.2024.10602250 https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16728 |
ISBN: | 9798350389432 |
Appears in Collections: | Conference Papers |
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