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Group authorization using threshold signatures for medical procedures

Authors: Preeti Nagar; Divyashikha Sethia;

Group authorization using threshold signatures for medical procedures

Abstract

Digitalisation of the health sector is being adopted by many countries to deliver reliable healthcare services. In healthcare organisations, frauds are rampant possessing a serious threat to good governance. To control such malpractices we present the design of a system for group authorization in healthcare organisations. In this medical professionals are provided with some shares of a secret. To authorise any medical document at least threshold number of medical professionals have to offer their signatures shares. Only when enough number of valid signature shares get combined, the document gets authorised. Maintaining audit logs using the group signature can ensure non-repudiation. We implement threshold Gap Diffie-Hellman (GDH) signature scheme based on the concept of secret sharing for the proposed system. Also, we compare the results of our implementation with the basic RSA scheme. Our implementation has shorter key generation time as compared to a serial RSA scheme. Also, unlike RSA scheme supports the very idea of threshold signatures. Incorporating proposed group authorization system can prevent frauds and corruption in the healthcare sector by providing transparency and accountability.

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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!
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Average
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