A Trustworthy IoT to Cloud Data Transmission Frameworks

Abstract

The IoT devices are growing rapidly, which has led to an exponential rise in the amount of data those devices are producing. There is a pressing need for effective and secure data transfer techniques from IoT devices to the cloud as the amount and complexity of IoT data keep growing. This paper introduces a revolutionary idea that combines fog computing, and blockchain technology and also uses a hybrid consensus mechanism to ensure secured data transmission between IoT and Cloud. Fog computing, a branch of the cloud provides local processing, storage, and communication capabilities. By leveraging fog computing, data transmission latency is reduced, and network congestion is minimized, resulting in improved performance and responsiveness. Blockchain technology is incorporated into the system to guarantee the security of IoT data while it is being transmitted. Blockchain, with its decentralized and immutable nature, provides a transparent and tamper-proof ledger for recording data transactions. Each data transaction from an IoT device is encrypted, timestamped, and appended to the blockchain, creating an auditable and trustworthy record of data transmission. Additionally, a hybrid consensus mechanism using Delegated Proof of Stake and Practical Byzantine Fault Tolerance is employed to validate the transaction. This concept addresses the challenges of data security, latency, and integrity in IoT applications, enabling the development of scalable and trustworthy IoT systems across various industries. The efficiency of the proposed system is validated by evaluating performance metrics such as latency, accuracy, precision, recall, F-score, and verification time, and comparing the results with those of existing approaches. The implemented systems, tailored for the healthcare domain, exhibit security measures and an impressive 18% reduction in latency, while enhancing the accuracy by 15% when compared to the conventional approach, as per the experimental results.