A framework for blockchain-based management of IoT-driven data sharing

Big data systems rely on acquiring, analyzing, and processing diverse data sets to enable predictive analytics in decision support systems. The integration of Internet of Things (IoT) devices generates vast amounts of data, creating challenges related to security, scalability, and efficient data management in mobile environments. Traditional IoT data sharing platforms often depend on Trusted Third Parties (TTPs), which compromise security, transparency, and trust, while also facing constraints like limited storage, privacy concerns, and high energy consumption. This research proposes a blockchain-based IoT data management platform utilizing the InterPlanetary File System (IPFS) to address these issues. The platform defines data access roles through smart contracts, ensuring data integrity and security while modernizing legacy systems. Experimental evaluation demonstrates the platform's efficiency in energy consumption and storage management for smart communication contracts. Key contributions include a blockchainbased architecture, algorithms for implementation, and validation using satellite-sensed data, advancing decentralized data management solutions.