Work

Security of Digital Files: Audio Tampering Detection

Year: 2024

Type: conference-paper

Abstract: In an age where most of the data we interact with daily is stored digitally, methods of checking its authenticity become more and more essential. This is especially true for sound, as the increasing public availability of AI models makes tampering with audio files easier than ever. In this paper, we will be investigating the current landscape of audio forensics as well as our new hardware-based solution for double encoding detection.

DOI: 10.19107/cybercon.2024.06

Author: Sebastian-Alexandru ARGHIRESCU

Institution: Universitatea Națională de Știință și Tehnologie Politehnica București

Language: English

Topic: Digital Media Forensic Detection

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

OpenAlex ID: W4404599627

FWCI:

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