A Personal Information Management Using Block Chain
Shubhankar Kanore
, Aditya Yadav , Sawid Deshmukh
Decentralized system, Block chain, Data, Transparency, access control.
The recent increase in reported incidents of surveillance and security breaches compromising user’s privacy call into question the current model, in which third-parties collect and control massive amounts of personal data. Disclosure of user’s personal data is a serious breach of privacy. Traditional database storage options have proven to be quite inefficient in protecting such sensitive data. Records can be stolen and tampered with on cloud based services. Our system proposes a decentralized system of storing user personal data using a novel technology, Block chain. Block chain technology has thus far been able to prevent unauthorized access with its secured cryptographic algorithms and its immutability makes the data tamperproof. We are creating the smart system which is based on data ownership, data transparency, auditability and fine-grained access control. According to the results of this study, countries where national data protection authorities have the power, and the resources, to enforce data protection laws in a consistent and predictable manner represent a positive institutional environment for organizations. In these contexts, organizations are more likely to develop a strong privacy culture, which is a necessary condition to adopt fair information practices and respect data subject’s rights. We are storing personal data using block chain to avoid unauthenticated modifications and data stealing, Block chain provide features to overcome the draw backs of existing system
"A Personal Information Management Using Block Chain", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 11, page no.996 - 998, November-2022, Available :https://ijsdr.org/papers/IJSDR2211147.pdf
Volume 7
Issue 11,
November-2022
Pages : 996 - 998
Paper Reg. ID: IJSDR_202768
Published Paper Id: IJSDR2211147
Downloads: 000347208
Research Area: Engineering
Country: -, -, -
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
