Title | Secured framework for privacy preserving healthcare based on blockchain |
Publication Type | Conference Paper |
Year of Publication | 2022 |
Authors | Raghav, Nidhi, Bhola, Anoop Kumar |
Conference Name | 2022 International Conference on Computer Communication and Informatics (ICCCI) |
Keywords | Biomedical monitoring, blockchain, blockchains, cloud, composability, compositionality, data privacy, Data Sanitization, Data security, healthcare, IoT, key, medical treatment, privacy, pubcrawl, resilience, Resiliency, Scalability, security, Sensors |
Abstract | Healthcare has become one of the most important aspects of people's lives, resulting in a surge in medical big data. Healthcare providers are increasingly using Internet of Things (IoT)-based wearable technologies to speed up diagnosis and treatment. In recent years, Through the Internet, billions of sensors, gadgets, and vehicles have been connected. One such example is for the treatment and care of patients, technology--remote patient monitoring--is already commonplace. However, these technologies also offer serious privacy and data security problems. Data transactions are transferred and logged. These medical data security and privacy issues might ensue from a pause in therapy, putting the patient's life in jeopardy. We planned a framework to manage and analyse healthcare large data in a safe manner based on blockchain. Our model's enhanced privacy and security characteristics are based on data sanitization and restoration techniques. The framework shown here make data and transactions more secure. |
Notes | ISSN: 2329-7190 |
DOI | 10.1109/ICCCI54379.2022.9763091 |
Citation Key | raghav_secured_2022 |