A Verifiable and Secure Industrial IoT Data Deduplication Scheme With Real-Time Data Integrity Checking in Fog-Assisted Cloud Environments
In the Industrial Internet of Things (IIoT), the vast amount of data generated by interconnected devices presents significant challenges in storage management. Existing deduplication methods often fail to account for data correlation across devices, resulting in inefficient encrypted data handling,...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10840232/ |
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| Summary: | In the Industrial Internet of Things (IIoT), the vast amount of data generated by interconnected devices presents significant challenges in storage management. Existing deduplication methods often fail to account for data correlation across devices, resulting in inefficient encrypted data handling, excessive computational overhead on fog nodes, and insufficient support for lightweight authenticity checks. Additionally, most current approaches lack mechanisms for real-time data integrity verification. In this paper, we proposed VERDUP, a verifiable and secure deduplication scheme with the support of real-time data integrity checking and fine-grained access control specifically designed for IIoT environments. VERDUP utilizes a two-stage deduplication approach based on a dynamic tree model in a fog-assisted cloud architecture, integrated with blockchain technology to enhance deduplication efficiency and data integrity verification. Our tree-based model enables the grouping of IIoT devices under the same branch, facilitating efficient search and management of indexing in both the cloud and blockchain. Additionally, we introduced a temporal data removal algorithm to manage outdated IoT data effectively, significantly reducing storage costs in fog computing environments. A lightweight PUF-based authentication mechanism is also presented, where challenge-response pairs from Physical Unclonable Functions (PUFs) are discarded after each successful authentication. This is achieved using an incremental value configured at the fog node, allowing authentication requests to be processed without generating new challenges for each transaction. For real-time data integrity, we propose an integrity verification algorithm that cross-references hash values stored in the cloud and blockchain, enabling fast and lightweight integrity checks. Finally, extensive experiments and comparative evaluations demonstrate that VERDUP significantly improves deduplication performance compared to existing methods. |
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| ISSN: | 2169-3536 |