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Improved Audio Steganalytic Feature and Its Applications in Audio Forensics

ACM Transactions on Multimedia Computing, Communications and Applications, 2018
Digital multimedia steganalysis has attracted wide attention over the past decade. Currently, there are many algorithms for detecting image steganography. However, little research has been devoted to audio steganalysis. Since the statistical properties of image and audio files are quite different, features that are effective in image steganalysis may ...
Weiqi Luo, Haodong Li, Jiwu Huang
exaly   +2 more sources

Authenticity verification of audio signals based on fragile watermarking for audio forensics

Expert Systems With Applications, 2018
Abstract This paper presents a new fragile watermarking method for digital audio authenticity for audio forensics purposes. The aim is to verify if an audio proof has been tampered and to locate the segments where the signal was modified. Our proposal is based on an embedding process of a text that is encoded through OVSF (Orthogonal Variable ...
Diego Renza, Dora M Ballesteros L
exaly   +2 more sources

Digital multimedia audio forensics: past, present and future

Multimedia Tools and Applications, 2017
Digital audio forensics is used for a variety of applications ranging from authenticating audio files to link an audio recording to the acquisition device (e.g., microphone), and also linking to the acoustic environment in which the audio recording was made, and identifying traces of coding or transcoding.
Mohammed Zakariah   +2 more
exaly   +2 more sources

A Forensics System for Live-Audio Watermarking

2020 International Symposium on Electronics and Telecommunications (ISETC), 2020
A common problem in audio forensics is the difficulty to authenticate an audio recording. You can have an argument against any audio probe. In this paper we propose a system that can take audio probes which can be used with success in a court. The recording will be bulletproof due to the use of a reference protocol based on an external entity, the ...
exaly   +2 more sources

Robust Anti-forensics on Audio Forensics System

Lecture Notes in Computer Science, 2023
Dengpan Ye
exaly   +2 more sources

A cloud-oriented integrity verification system for audio forensics

Computers and Electrical Engineering, 2019
Abstract Integrity analysis is an important task in the field of audio forensics. Its aim is to verify if an evidence (i.e. audio recording) has been manipulated or not. With the aim of providing a solution for the chain of custody, we propose a system that encompasses capture module, the hash value of the audio recording, cloud storage and integrity
Steven Camacho   +2 more
exaly   +2 more sources

Transformer for authenticating the source microphone in digital audio forensics

Forensic Science International: Digital Investigation, 2023
Mustafa A Qamhan, Yousef A Alotaibi
exaly   +2 more sources

Forensic audio watermark detection

SPIE Proceedings, 2012
Digital audio watermarking detection is often computational complex and requires at least as much audio information as required to embed a complete watermark. In some applications, especially real-time monitoring, this is an important drawback. The reason for this is the usage of sync sequences at the beginning of the watermark, allowing a decision ...
Martin Steinebach   +2 more
openaire   +1 more source

Audio forensics from acoustic reverberation

2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010
An audio recording is subject to a number of possible distortions and artifacts. For example, the persistence of sound, due to multiple reflections from various surfaces in a room, causes temporal and spectral smearing of the recorded sound. This distortion is referred to as audio reverberation time.
Hafiz Malik, Hany Farid
openaire   +1 more source

Audio recorder forensic identification in 21 audio recorders

2015 IEEE International Conference on Progress in Informatics and Computing (PIC), 2015
Audio recorder forensic identification is to determine originating devices of questioned audio recordings. In this paper, statistical features both in time and frequency domains were studied and were used to represent and encode device-related information.
null Jinhua Zeng   +6 more
openaire   +1 more source

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