Anti-forensics of fake stereo audio using generative adversarial network

Liu, Tianyun; Yan, Diqun; Yan, Nan; Chen, Gang

doi:10.1007/s11042-022-12448-4

Cited by 5 publications

(4 citation statements)

References 19 publications

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“…On the other hand, B. Tao et al [128] do the same with the anti-forensic technique of double audio compression. Authors such as T. Liu et al [129] focus their analysis on audio resampling and recompression using GAN.…”

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confidence: 99%

“…Papers [127,130] focus on the environmental signature of recordings, with paper [127] proposing an anti-forensic attack based on reverberation removal, and paper [130] presenting classifiers with which to distinguish indoor and outdoor recordings. On the other hand, papers [128,129] address compression history manipulation. Article [128] describes an anti-forensic method of removing traces of double MP3 compression, while article [129] focuses on the creation of fake stereo audio from mono audio, avoiding the detection of this manipulation.…”

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confidence: 99%

“…On the other hand, papers [128,129] address compression history manipulation. Article [128] describes an anti-forensic method of removing traces of double MP3 compression, while article [129] focuses on the creation of fake stereo audio from mono audio, avoiding the detection of this manipulation. Papers [131,132] are notable for their use of generative adversarial neural networks (GANs); article [131] uses them to falsify the source of an audio, while article [132] analyzes their application in the anti-forensic application of the ENF signal, used to date recordings.…”

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confidence: 99%

“…As a novelty, paper [127] introduces machine-learning-based countermeasures to detect anti-forensic attacks on the environmental signature. Articles [129,131] use novel techniques based on GANs for audio anti-forensic techniques. And paper [132] discusses the ENF signal anti-forensic technique, a novel approach for dating recordings.…”

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confidence: 99%

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Systematic Review: Anti-Forensic Computer Techniques

González Arias,

Bermejo Higuera,

Rainer Granados

et al. 2024

Applied Sciences

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The main purpose of anti-forensic computer techniques, in the broadest sense, is to hinder the investigation of a computer attack by eliminating traces and preventing the collection of data contained in a computer system. Nowadays, cyber-attacks are becoming more and more frequent and sophisticated, so it is necessary to understand the techniques used by hackers to be able to carry out a correct forensic analysis leading to the identification of the perpetrators. Despite its importance, this is a poorly represented area in the scientific literature. The disparity of the existing works, together with the small number of articles, makes it challenging to find one’s way around the vast world of computer forensics. This article presents a comprehensive review of the existing scientific literature on anti-forensic techniques, mainly DFIR (digital forensics incident response), organizing the studies according to their subject matter and orientation. It also presents key ideas that contribute to the understanding of this field of forensic science and details the shortcomings identified after reviewing the state of the art.

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confidence: 99%