A Method to Detect AAC Audio Forgery

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dc.contributor.authorZhang, Jing
dc.contributor.authorLiu, Qingzhong
dc.contributor.authorYang, Ming
dc.contributor.authorSung, Andrew H.
dc.contributor.authorLiu, Yanxin
dc.contributor.authorChen, Lei
dc.contributor.authorChen, Zhongxue
dc.date.accessioned2022-01-21T17:00:07Z
dc.date.available2022-01-21T17:00:07Z
dc.date.issued2015-05-25
dc.descriptionArticle originally published in Endorsed Transactions on Security and Safetyen_US
dc.description.abstractAdvanced 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 rateen_US
dc.description.sponsorshipUS National Institute of Justice and from the US National Science Foundationen_US
dc.identifier.citationLiu Q, Sung AH, Chen L, Chen Z, Yang M, Liu Y and Zhang J (2015). A method to detect AAC audio forgery. EAI Endorsed Transactions on Security and Safety,en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11875/3253
dc.language.isoenen_US
dc.publisherEndorsed Transactions on Security and Safetyen_US
dc.subjectsame bitrateen_US
dc.subjectAACen_US
dc.subjectaudio forensicsen_US
dc.subjectForgery detectionen_US
dc.titleA Method to Detect AAC Audio Forgeryen_US
dc.typeArticleen_US

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