Securing Healthcare Data using Decentralized Approach

Abstract

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, as the 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, the data are secured in a decentralized approach using IPFS (InterPlanetary File System) protocol and Block chain. The risk of data failures and outages can be reduced while improving security, performance, and privacy using this strategy. The required data will be collected from the IPFS network by using the hash value and it will be trained with the ANN (Artificial Neural Network) algorithm to get the final model.