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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 15 Issue 8, 2024.
Abstract: Every day, a vast amount of data with incalculable value will be generated by the IoT devices that are deployed in various types of applications. It is crucial to ensure the reliability and safety of IoT data exchange in a cloud context because this data frequently contains the user's private information. This study presents a novel encrypted data storage and security system using the blockchain method in conjunction with hybrid optimization-based proxy re-encryption (HO-PREB). Dependency on outside central service providers is eliminated by the HO-PREB-based consensus process. In the blockchain system, several consensus nodes serve as proxy service nodes to restore encrypted data and merge transformed ciphertext with private data. Hybrid owl and bat optimization is employed to select the optimal key for enhancing security. This removes the limitations associated with securely storing and distributing private encrypted data via a distributed network. Moreover, the blockchain's distributed ledger ensures the permanent storage of data-sharing records and outcomes, ensuring accuracy and dependability. The simulated experiments of the designed model are evaluated with existing cryptographic techniques and gain a lower latency of 3.2 s and a lower turnaround time of 45 ms. Furthermore, the developed technique enhances cloud system security and possesses the capability to detect and mitigate attacks in the cloud environment.
Ahmed I. Alutaibi, “Enhance the Security of the Cloud Using a Hybrid Optimization-Based Proxy Re-Encryption Technique Considered Blockchain” International Journal of Advanced Computer Science and Applications(IJACSA), 15(8), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0150875
@article{Alutaibi2024,
title = {Enhance the Security of the Cloud Using a Hybrid Optimization-Based Proxy Re-Encryption Technique Considered Blockchain},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0150875},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0150875},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {8},
author = {Ahmed I. Alutaibi}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.