User-authenticated IoMT security model using blockchain authorization with data indexing and analysis

User-authenticated IoMT security model using blockchain authorization with data indexing and analysis

연구 분야: Analysis

학회: International Journal of Information Technology

The Internet of Medical Things (IoMT) could significantly enhance conventional Healthcare (HC) services. To secure HC data, numerous data preservation and authentication techniques were developed. But, they could not effectively address security concerns and failed to retrieve data in minimal time. Thus, this work proposes a user Authenticated Security framework with blockchain-based authorization using an encoded access policy and smart contract with data indexing. Primarily, to book an appointment, the patient registers and login to the server. After consultation, the data is sensed and converted into cipher. This cipher is encrypted and uploaded to the hospital cloud server. In American Standard Code for Information Interchange(ASCII) binary Indexed Tree, the data’s location is indexed. In the meantime, a smart contract is created grounded on consultation details, which are converted to hashcode and stored in the blockchain. Afterward, by utilizing the patient’s and doctor’s data attributes, an encoded access policy is created. Now, the doctor login to the server, and a smart contract is created, which is converted to hash code. Grounded on the smart contract and encoded policy, blockchain-based authorization is performed. After verifying, the data is retrieved with the help of the indexed tree. Lastly, to provide a prescription, the attributes of the decrypted data are analyzed using Sigmoid Swish Long short-term memory (SS-LSTM). In experimental assessment, the proposed mechanism’s performance is proven with superior outcomes.