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ZENODO
Other literature type . 2023
License: CC BY NC ND
Data sources: ZENODO
ZENODO
Other literature type . 2023
License: CC BY NC ND
Data sources: Datacite
ZENODO
Other literature type . 2023
License: CC BY NC ND
Data sources: Datacite
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Shesmu DBDsys: a Solution for Safer Data Sharing in the Case of Directed Blood Donation

Authors: Roskó, Tibor;

Shesmu DBDsys: a Solution for Safer Data Sharing in the Case of Directed Blood Donation

Abstract

Publicly shared numerous types of personal data further increase the possibilities for misuses, especially sensitive data, such as health or biometric data. Our focus is on the phenomenon when people publicly share their or others' personal data related to directed blood donation in order to find donors on the Internet without any protection, which can be the source of identity theft or fake fundraising crimes. To solve this problem and help people to protect their data in this relation, we designed and implemented a possible solution called Shesmu DBDsys, which applies AES-256-GCM encryption to protect and QR code to share data. Shesmu does not store any personal data and ensures that potential donors can only access personal information related to the recipient if they perform a successful donation. We also carried out experimental software analyses to validate the correctness of our implementation and to give proposals, such as the appropriate size of the QR code.

Related Organizations
Keywords

encrypted data in QR code, privacy protection, privacy awareness, cybercrimes related to data concerning health, directed blood donation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green