A Machine-Learning-Blockchain-Based Authentication Using Smart Contracts for an IoHT System

【Author】 Gaur, Rajkumar; Prakash, Shiva; Kumar, Sanjay; Abhishek, Kumar; Msahli, Mounira; Wahid, Abdul

【Source】SENSORS

【影响因子】3.847

【Abstract】Nowadays, finding genetic components and determining the likelihood that treatment would be helpful for patients are the key issues in the medical field. Medical data storage in a centralized system is complex. Data storage, on the other hand, has recently been distributed electronically in a cloud-based system, allowing access to the data at any time through a cloud server or blockchain-based ledger system. The blockchain is essential to managing safe and decentralized transactions in cryptography systems such as bitcoin and Ethereum. The blockchain stores information in different blocks, each of which has a set capacity. Data processing and storage are more effective and better for data management when blockchain and machine learning are integrated. Therefore, we have proposed a machine-learning-blockchain-based smart-contract system that improves security, reduces consumption, and can be trusted for real-time medical applications. The accuracy and computation performance of the IoHT system are safely improved by our system.

【Keywords】IoHT; smart contract; ML-based; training set; blockchain; SVM; CP-ABE; secure system

【发表时间】2022 DEC

【收录时间】2023-01-05

【文献类型】理论模型

【主题类别】

区块链技术-核心技术-智能合约