Reversible Audio Information Hiding for Tampering Detection and Localization Using Sample Scanning Method
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- Huang Xuping
- The Kyoto College of Graduate Studies for Informatics (KCGI)
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- Ono Nobutaka
- National Institute of Informatics SOKENDAI (School of Multidisciplinary Sciences, The Graduate University for Advanced Studies)
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- Nishimura Akira
- Department of Information Systems, Tokyo University of Information Sciences
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- Echizen Isao
- National Institute of Informatics SOKENDAI (School of Multidisciplinary Sciences, The Graduate University for Advanced Studies)
抄録
<p>Reversible audio information hiding and sample-scanning methods are proposed for digital audio content to achieve detailed detection and localization of tampered positions in each frame. The method proposed in this study allows detecting multiple tampering and reusing reliable content as well as avoiding false detection which were impossible for other methods to simultaneously achieve. In the proposed method, the original signal is partitioned into fixed-length frames and then transformed into discrete cosine transform (DCT) coefficients by the integer modified DCT (intDCT). Expansion of the DCT coefficients is applied to embed a content-based hash as a payload. The integer DCT algorithm ensures the reversibility of the transform so that the original data and embedded payload can be perfectly restored to enable blind verification of the data integrity. The perceptual evaluation of speech quality (PESQ) with the listening quality objective mean opinion (MOSLQO), the segmental signal to noise ratio (segSNR), and subjective evaluation results show that the proposed algorithm provides good sound quality (MOSLQO and segSNR are respectively 4.41 and 23.31dB on average for a capacity of 8, 000bps). Detection and localization are accurate in terms of correctly localizing tampered frames in case of insertion or deletion.</p>
収録刊行物
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- Journal of Information Processing
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Journal of Information Processing 25 (0), 469-476, 2017
一般社団法人 情報処理学会
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詳細情報 詳細情報について
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- CRID
- 1390282680272594304
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- NII論文ID
- 130005775577
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- ISSN
- 18826652
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可