AN INNOVATIVE IOT-BASED MEDICAL DATA PRIVACY AND SHARING MODEL USING N-GRAM BLOCKCHAIN FOR MULTI-KEYWORD SEARCH WITH COLLABORATIVE HYPOTHESIS AND ELASTIC REGRESSION

Abstract

The fast increase in the IoT-based healthcare systems has resulted in the creation of huge amounts of sensitive medical information, posing challenges in maintaining privacy, sharing it safely, and retrieving it efficiently. In this study, it is suggested to use an innovative IoT-based medical data privacy and sharing framework that will combine N-gram blockchain, multi-keywords search, collaborative hypothesis, and elastic regression to tackle these issues. With the suggested model, the data gathered and can be accessed by medical devices are encrypted and stored on a blockchain in a secure manner to ensure immutability, tracking, and safeguarding against unauthorized access. N-gram models are generated with key medical terms and define semantic relational information and allow an accurate search with multi-keywords in encrypted datasets. The collaborative hypothesis model considers query-document relevance based on weighted similarity score, but the ranking of the results is refined with the help of elastic regression, which enhances prediction accuracy and prevents overfitting. The framework also promotes real-time querying, privacy, and effective retrieval of pertinent medical records over numerous users and devices. The results of experiments that have been carried out on benchmark medical datasets show high gains in terms of precision, recall, F1-score, and error measurements of MAE, MSE, and RMSE, relative to the current methods. The suggested model provides a safe, scalable, and precise solution to the medical data management in the IoT healthcare settings, which allows reliable access to the critical information by the authorized users without compromising the privacy standards. This is especially applicable in the applications where the search based on the multi-keywords, dynamic querying, and prediction with high reliability in the decentralized healthcare network is needed.