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利用区块链和迁移学习技术实现安全的物联网数据传播。

Secure IoT data dissemination with blockchain and transfer learning techniques.

作者信息

Anand Pooja, Singh Yashwant, Singh Harvinder

机构信息

Department of Computer Science and Information Technology, Central University of Jammu, Rahya Suchani, Jammu and Kashmir, 181143, India.

Torrens University Australia, Fortitude Valley, QLD 4006, Leaders Institute, 76 Park Road, Woolloongabba, QLD 4102, Brisbane, Queensland, Australia.

出版信息

Sci Rep. 2025 Jan 11;15(1):1665. doi: 10.1038/s41598-024-84837-8.

DOI:10.1038/s41598-024-84837-8
PMID:39799165
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11724911/
Abstract

In smart applications, streaming IoT data is essential to building trust in sustainable IoT solutions. However, most existing systems for storing and disseminating IoT data streams lack reliability, security, and transparency, primarily due to centralized architectures that create single points of failure. To address these limitations, this research introduces TraVel, a blockchain and transfer learning-based framework for secure IoT data management. TraVel leverages decentralized IPFS storage to handle large data volumes effectively, integrating with a private Ethereum blockchain to enhance data integrity and accessibility. In the proposed scheme, the smart home ([Formula: see text]) data is collected securely and accessed over the BC with a unique hash key generated on the IPFS for all the files. Self-executing Ethereum smart contracts enforce access control and verify data integrity, allowing only validated, non-malicious data to be stored. An adversarial domain adaptation (DA) learning model is employed to detect and filter malicious data before it enters the blockchain. TraVel's performance is evaluated on blockchain parameters, with simulations conducted on REMIX IDE and InterPlanetary File System (IPFS), demonstrating its reliability and scalability for secure IoT data dissemination.

摘要

在智能应用中，流式物联网数据对于建立对可持续物联网解决方案的信任至关重要。然而，大多数现有的用于存储和传播物联网数据流的系统缺乏可靠性、安全性和透明度，主要原因是集中式架构会产生单点故障。为了解决这些限制，本研究引入了TraVel，这是一个基于区块链和迁移学习的安全物联网数据管理框架。TraVel利用去中心化的IPFS存储来有效处理大量数据，并与私有以太坊区块链集成以增强数据完整性和可访问性。在所提出的方案中，智能家居（[公式：见正文]）数据通过在IPFS上为所有文件生成的唯一哈希密钥在区块链上安全收集和访问。自执行的以太坊智能合约实施访问控制并验证数据完整性，只允许存储经过验证的非恶意数据。采用对抗域自适应（DA）学习模型在恶意数据进入区块链之前对其进行检测和过滤。在区块链参数上对TraVel的性能进行了评估，并在REMIX IDE和星际文件系统（IPFS）上进行了模拟，证明了其在安全物联网数据传播方面的可靠性和可扩展性。

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