An Impact of Preserving Private Medical Data using Blockchain

Deep learning holds an extraordinary guarantee of reforming medical services and medication. Tragically, different surmising assault models exhibited that profound learning puts delicate patient data in danger. The high limit of profound brain networks is the primary purpose for the security misfortune. Specifically, patient data in the preparation information can be accidentally retained by a profound organization. Whereas with the improving data insecurity nowadays leads to loss of confidential data as the key is easily hackable because of a single algorithm usage. To overcome this problem this project presents an Efficient Data Security System where smart contracts and WEB 3.0 play a major in securing the data. In addition, it provides a complete data security where the data cannot be tampered by the hacker by any means. A framework called WEB 3.0 is developed which has inbuilt block chain framework to secure the data at the backend. No encryption or decryption key is required for accessing data which eliminates the fear of data being hacked or tampered by the hacker. Thus, this system provides an end to end data security to the medical records of a hospital.