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Multi-factor authentication using threshold cryptography

Authors: Vishnu Venukumar; Vinod Pathari;

Multi-factor authentication using threshold cryptography

Abstract

Multi-Factor Authentication is used as a foolproof solution to various issues involved in present day critical authentication systems. However, it comes with the overhead of employing multiple authentication programs to complete the process. Moreover, current multi-factor authentication schemes require all intermediate One Time Passwords(OTPs) to be stored for the lifetime of the authentication process. They also involve security risks whenever an authentication process requires the user's password at a public place like a Point-of-Sale terminal or an open ATM booth. This work proposes a more secure, efficient, convenient and flexible multi-factor authentication technique using threshold cryptography.

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    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
6
Average
Top 10%
Average
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