A Method to Detect AAC Audio Forgery

Liu, Qingzhong and Sung, Andrew and Chen, Lei and Yang, Ming and Chen, Zhongxue and Liu, Yanxin and Zhang, Jing (2015) A Method to Detect AAC Audio Forgery. EAI Endorsed Transactions on Security and Safety, 2 (6). e1. ISSN 2032-9393

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Abstract

Advanced Audio Coding (AAC), a standardized lossy compression scheme for digital audio, which was designed to be the successor of the MP3 format, generally achieves better sound quality than MP3 at similar bit rates. While AAC is also the default or standard audio format for many devices and AAC audio files may be presented as important digital evidences, the authentication of the audio files is highly needed but relatively missing. In this paper, we propose a scheme to expose tampered AAC audio streams that are encoded at the same encoding bit-rate. Specifically, we design a shift-recompression based method to retrieve the differential features between the re-encoded audio stream at each shifting and original audio stream, learning classifier is employed to recognize different patterns of differential features of the doctored forgery files and original (untouched) audio files. Experimental results show that our approach is very promising and effective to detect the forgery of the same encoding bit-rate on AAC audio streams. Our study also shows that shift recompression-based differential analysis is very effective for detection of the MP3 forgery at the same bit rate.

Item Type: Article
Uncontrolled Keywords: forgery detection; audio forensics; aac; same bitrate
Subjects: H Social Sciences > H Social Sciences (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor IV
Date Deposited: 26 Mar 2021 13:51
Last Modified: 26 Mar 2021 13:51
URI: https://eprints.eudl.eu/id/eprint/2041

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