Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5591
Title: Audio codec identification through payload sampling
Authors: Hiçsönmez S.
Sencar, Hüsrev Taha
Avcıbaş I.
Issue Date: 2011
Source: 2011 IEEE International Workshop on Information Forensics and Security, WIFS 2011, 29 November 2011 through 2 December 2011, Iguacu Falls, 88270
Abstract: W0065 present a new method for audio codec identification that does not require decoding of coded audio data. The method utilizes randomness and chaotic characteristics of coded audio to build statistical models that represent encoding process associated with different codecs. The method is simple, as it does not assume knowledge on encoding structure of a codec. It is also fast, since it operates on a block of data, which is as small as a few kilobytes, selected randomly from the coded audio. Tests are performed to evaluate the effectiveness of the technique in identification of the codec used in encoding on both singly coded and transcoded audio samples. © 2011 IEEE.
URI: https://doi.org/10.1109/WIFS.2011.6123128
https://hdl.handle.net/20.500.11851/5591
ISBN: 9781457710179
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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