Securing Healthcare Data Using Decentralized Approach

According to WHO, brain stroke seems to be the second most common cause overall, accounting for about eleven percent of all mortality. Data security and privacy are in great demand in the healthcare industry. Data is now kept in a centralized manner in present systems, with all data being stored in a single area. In such systems, there is a high possibility for an intruder or third party to access and change the data. In Healthcare, data is the most crucial factor, so if there are any small changes made by the intruder in the data, it may lead to provide false outcome. In this proposed system, we secure the data in a decentralized approach using IPFS protocol and Block chain. We can reduce the risk of data failures and outages while improving security, performance, and privacy using this strategy. The required data will be collected and be trained with the ANN algorithm to get the final model.