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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 17 Issue 2, 2026.
Abstract: Virtual Power Plants (VPPs) face significant challenges in secure data management and sharing, including risks of centralized control, single points of failure, and dynamic access requirements among multiple stakeholders. To address these issues, this study proposes SIFChain, a decentralized framework that integrates Hyperledger Fabric, the InterPlanetary File System (IPFS), and a revocable Ciphertext-Policy Attribute-Based Encryption (CP-ABE) scheme with collaborative key generation. Unlike existing solutions such as Filecoin or Storj, SIFChain introduces a dual-channel blockchain architecture that separates public operational data from sensitive attribute information, mitigating privacy leakage and access policy exposure. The framework achieves fine-grained, dynamic access control with forward and backward security through an enhanced CP-ABE mechanism. Experimental evaluation demonstrates that SIFChain provides scalable performance: data upload/download times in-crease linearly from 1 MB to 1 GB, blockchain transaction latency remains under 5 ms for typical operations (registration, access requests, policy updates), and attribute-based encryption/decryption overhead scales linearly with policy complexity. These results confirm the practicality of SIFChain for secure, cross-organizational data sharing in Virtual Power Plant ecoSystems.
Xiaochuan Xu, Xiao Xin, Jie Liu, Ruiqi Fang, Dekai Liu and Zhixin Li. “SIFChain: A Decentralized Framework for Secure Storage Sharing and Dynamic Access Control in Virtual Power Plants”. International Journal of Advanced Computer Science and Applications (IJACSA) 17.2 (2026). http://dx.doi.org/10.14569/IJACSA.2026.0170282
@article{Xu2026,
title = {SIFChain: A Decentralized Framework for Secure Storage Sharing and Dynamic Access Control in Virtual Power Plants},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2026.0170282},
url = {http://dx.doi.org/10.14569/IJACSA.2026.0170282},
year = {2026},
publisher = {The Science and Information Organization},
volume = {17},
number = {2},
author = {Xiaochuan Xu and Xiao Xin and Jie Liu and Ruiqi Fang and Dekai Liu and Zhixin Li}
}
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.