Literature DB >> 35505220

Memory-memory (M2) Authentication.

Uri Kartoun1.   

Abstract

The article introduces a new type of an authentication technique denoted as memory-memory (M2). A core component of M2 is its ability to collect and populate a voice profile database and use it to perform the verification process. The method relies on a database that includes voice profiles in the form of audio recordings of individuals; the profiles are interconnected based on known relationships between people such that relationships can be used to determine which voice profiles to select to test a person's knowledge of the identity of the people in the recordings (e.g., their names, their relation to each other). Combining widely known concepts (e.g., humans are superior to computers in processing voices and computers are superior to humans in handling data) expects to significantly enhance existing authentication methods (e.g., passwords, biometrics-based).
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Authentication; Patient privacy; Security enhancement; Voice recognition

Mesh:

Year:  2022        PMID: 35505220     DOI: 10.1007/s10916-022-01820-4

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  3 in total

1.  Human voice perception.

Authors:  Marianne Latinus; Pascal Belin
Journal:  Curr Biol       Date:  2011-02-22       Impact factor: 10.834

Review 2.  Deep learning.

Authors:  Yann LeCun; Yoshua Bengio; Geoffrey Hinton
Journal:  Nature       Date:  2015-05-28       Impact factor: 49.962

Review 3.  Risks and benefits of speech recognition for clinical documentation: a systematic review.

Authors:  Tobias Hodgson; Enrico Coiera
Journal:  J Am Med Inform Assoc       Date:  2015-11-17       Impact factor: 4.497

  3 in total

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