Research on Industrial IoT Data Storage and Access Security Countermeasures Based on Solana Blockchain and IPFS Technology

With the rapid development of Industrial Internet of Things (IIoT) technology, an increasing number of devices are connecting to the internet, generating vast amounts of sensitive data and creating data silos that hinder resource coordination. Current centralized storage systems for IIoT data are prone to single points of failure, privacy breaches, and security issues. To address these problems, this paper proposes an IIoT data storage and access solution based on Solana blockchain and InterPlanetary File System (IPFS) technology, aiming to achieve efficient, secure, and scalable data management. The Chainlink Verifiable Random Function (VRF) protocol generates verifiable and tamper-proof random numbers for data verification and consensus. Encryption algorithms and digital signatures implement data encryption, decryption, access control, and privacy protection, while zero-knowledge proof (ZKP) ensures data security and privacy during access. Leveraging IPFS, a high-bandwidth, distributed, peer-to-peer off-chain storage solution is constructed. Smart contracts define rules and automate data access and management operations, enhancing system security and automation. Simulation experiments demonstrate significant efficiency, security, and scalability advantages over traditional centralized solutions, making it suitable for IIoT applications with large data volumes. Future work will focus on optimizing node communication, expanding experiments, and real-world deployment to further enhance system performance.

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Publication Details

Published
2024-11-23
DOI
https://doi.org/10.1109/icngn63705.2024.10871621
Citations
3
Primary Topic
Medical Research and Treatments
Type
article
Field-Weighted Citation Impact
2.15
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article

Research on Industrial IoT Data Storage and Access Security Countermeasures Based on Solana Blockchain and IPFS Technology

Weixiong Zha, Jidong Lai
3 citations
Medical Research and Treatments
2.15
article

Research on Industrial IoT Data Storage and Access Security Countermeasures Based on Solana Blockchain and IPFS Technology

Weixiong Zha, Jidong Lai
article en
3 citations

Abstract

With the rapid development of Industrial Internet of Things (IIoT) technology, an increasing number of devices are connecting to the internet, generating vast amounts of sensitive data and creating data silos that hinder resource coordination. Current centralized storage systems for IIoT data are prone to single points of failure, privacy breaches, and security issues. To address these problems, this paper proposes an IIoT data storage and access solution based on Solana blockchain and InterPlanetary File System (IPFS) technology, aiming to achieve efficient, secure, and scalable data management. The Chainlink Verifiable Random Function (VRF) protocol generates verifiable and tamper-proof random numbers for data verification and consensus. Encryption algorithms and digital signatures implement data encryption, decryption, access control, and privacy protection, while zero-knowledge proof (ZKP) ensures data security and privacy during access. Leveraging IPFS, a high-bandwidth, distributed, peer-to-peer off-chain storage solution is constructed. Smart contracts define rules and automate data access and management operations, enhancing system security and automation. Simulation experiments demonstrate significant efficiency, security, and scalability advantages over traditional centralized solutions, making it suitable for IIoT applications with large data volumes. Future work will focus on optimizing node communication, expanding experiments, and real-world deployment to further enhance system performance.

East China Jiaotong University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 11%
Medical Research and Treatments
2.15
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Research on Industrial IoT Data Storage and Access Security Countermeasures Based on Solana Blockchain and IPFS Technology — Weixiong Zha, Jidong Lai · (2024) | TGRS Research Map | TGRS