BLOCKCHAIN FOR MASS IOT DATA STORAGE AND DISTRIBUTED DATA MANAGEMENT

Authors

  • Kanwal Naheed
  • Fatima Anjum
  • Ayesha Iqbal
  • Saima Farhan
  • Sammra Habib
  • Misha Asif

Keywords:

Security, IoT, Massive data storage, IPFS, Blockchain Data Management

Abstract

The Internet of Things (IoT) has become an integral part of modern life, enabling seamless connectivity across industries, homes, healthcare systems, and autonomous vehicles. With this rapid adoption, the volume of data generated by IoT devices has grown exponentially, creating major challenges in secure storage and management. Traditional IoT architectures commonly employ the Interplanetary File System (IPFS) for data sharing among distributed devices and servers. Although IPFS offers efficient decentralized storage, it lacks data traceability — a crucial requirement for transparency and regulatory compliance in future digital ecosystems. Conversely, blockchain technology ensures immutability and traceability through distributed ledgers but is limited by its inefficiency in handling large-scale data. To address these limitations, this study proposes a hybrid framework, Eth-IPFS, which integrates the Ethereum blockchain with IPFS. The Ethereum blockchain, enhanced through smart contracts, manages data integrity and traceability, while IPFS handles large-scale decentralized storage. Experimental results demonstrate that Eth-IPFS enhances reliability, data accessibility, and traceability, offering a robust and scalable solution for managing massive IoT data. This framework provides a secure, efficient, and transparent data management model suitable for next-generation IoT systems.

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Published

2025-10-31

How to Cite

Kanwal Naheed, Fatima Anjum, Ayesha Iqbal, Saima Farhan, Sammra Habib, & Misha Asif. (2025). BLOCKCHAIN FOR MASS IOT DATA STORAGE AND DISTRIBUTED DATA MANAGEMENT. Spectrum of Engineering Sciences, 3(10), 1511–1526. Retrieved from https://thesesjournal.com.medicalsciencereview.com/index.php/1/article/view/1395