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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM22199
Volume:
7 |
5 |
May 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
In this project, we aim to develop methods to protect the private data(the details of the patient)with high security by using Blockchain technology and Artificial Intelligence. Blockchain technology is a decentralized, distributed ledger technology that records the transactions in various computers and have the advantage of transparency, immutability and smart contracts. Data is the key resource for the wide emerging information-based technology. Data like customer preference, user’s details, location and many more are collected and are used by big businesses and companies. The owner of the data is unaware of who is using their data and there is lack of privacy. The data can also be misused and there is a potential risk for the data owners with the traditional systems. With the powerful combination of Blockchain with AI, we can ensure there is security of the data. In this project, we are focusing on the hospital sector, wherein the data provided by the patients will be stored with high security by recording them as blockchains (with strong hashcodes). The patient can control on to whom they want to share their data. The data is highly secure and the data owners can benefit from also the incentives. We develop a web application using Django through which patients register themselves and create the profile with their data and also select the Hospital to which they want to give access. Hospital logins and they can get the data for which they have the access . MYSQL is used as an python interface to connect the databases.
KEYWORDS
Publication Date
4/5/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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