As the Internet technology is improving, large amount of data is generated. To deal with this huge amount of data many applications try to store the data on cloud networks. So before storing the data, security of data should be taken into consideration. Many classical existing approaches have already provided ACID properties with transaction management for consistent data provision. Some multi cloud environment systems also support to provide a consistent streaming data to end users even in high network. The blockchain is an important technique that provide the security for transactional dataset. Bitcoin is the most popular example to illustrate the strategy of blockchain execution. In this research we propose healthcare data security using blockchain and fog computing. The reason behind to use fog computing during the execution is to process the large-scale data which is generated from various sources. This work is categorized into various sections such as: insurance Company, thenthe patient registration as well as hospital registration, for each patient having a unique identification number as well as hospital also. When a particular patient communicates with Hospital as well as makes any future transaction with desired Hospital, it will store all records into the blockchain. The data has been stored according to the classical blockchain miner. SHA-256 has been used for hash generation and mining algorithm applied for validating the current hash according to given policy. The consensus algorithm used to validate the proof of work as well as to validate the current blockchain into peer to peer network. The fog computing is important to reduce the time complexity when system generate the large-scale data. According to various experimental analysis the system will provide drastic security to Private data as well as provide minimum time complexity.
CITATION STYLE
Sharma, N., & Joshi, R. B. (2019). Enhancing the health care data security through blockchain. International Journal of Engineering and Advanced Technology, 8(6), 549–554. https://doi.org/10.35940/ijeat.F8057.088619
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