Fingerprinting Smartphones Based on Microphone Characteristics From Environment Affected Recordings-Reference-Cited by-同舟云学术

Fingerprinting Smartphones Based on Microphone Characteristics From Environment Affected Recordings

Published:2022 Issue: Volume:10 Page:122399-122413
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Berdich Adriana¹^ORCID,Groza Bogdan¹^ORCID,Levy Efrat²^ORCID,Shabtai Asaf²^ORCID,Elovici Yuval²^ORCID,Mayrhofer Rene³^ORCID

Affiliation:

1. Faculty of Automatics and Computers, Politehnica University of Timisoara, Timişoara, Timiş, Romania

2. Faculty of Information Systems Engineering, Ben-Gurion University of the Negev, Be’er-Sheva, Israel

3. LIT Secure and Correct Systems Laboratory, Institute of Networks and Security, Johannes Kepler University Linz, Linz, Austria

Funder

Romanian Ministry of Research, Innovation and Digitalization

The increasing of the performance of the Polytechnic University of Timisoara by strengthening the research, development and technological transfer capacity in the field of “Energy

Environment and Climate Change” at the beginning of the second century of its existence

Within Program 1 - Development of the national system of Research and Development, Subprogram 1.2 - Institutional Performance - Institutional Development Projects

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09955522.pdf?arnumber=9955522

Reference48 articles.

1. S2M: A Lightweight Acoustic Fingerprints-Based Wireless Device Authentication Protocol

2. Hybrid G-PRNU: Optimal parameter selection for scale-invariant asymmetric source smartphone identification

3. Sweep-to-Unlock: Fingerprinting Smartphones based on Loudspeaker Roll-off Characteristics

4. Source Cell-Phone Identification in the Presence of Additive Noise from CQT Domain

5. Acoustic Fingerprinting Revisited

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1. A Survey on Fingerprinting Technologies for Smartphones Based on Embedded Transducers;IEEE Internet of Things Journal;2023-08-15

2. Source Microphone Identification Using Swin Transformer;Applied Sciences;2023-06-14