Fingerprinting Smartphones Based on Microphone Characteristics From Environment Affected Recordings

Fingerprinting Smartphones Based on Microphone Characteristics From Environment Affected Recordings

Fingerprinting devices based on unique characteristics of their sensors is an important research direction nowadays due to its immediate impact on non-interactive authentications and no less due to privacy implications. In this work, we investigate smartphone fingerprints obtained from microphone da...

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Bibliographic Details
Main Authors: Adriana Berdich, Bogdan Groza, Efrat Levy, Asaf Shabtai, Yuval Elovici, Rene Mayrhofer
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Machine learning
microphone
smartphone fingerprinting
Online Access:https://ieeexplore.ieee.org/document/9955522/

Internet

https://ieeexplore.ieee.org/document/9955522/

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