著者

Xuping Huang Nobutaka Ono Akira Nishimura Isao Echizen

出版者

Information Processing Society of Japan

雑誌

Journal of Information Processing (ISSN:18826652)

巻号頁・発行日

vol.25, pp.469-476, 2017 (Released:2017-07-15)

参考文献数

28

被引用文献数

4

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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.

著者

Xuping Huang Akira Nishimura Isao Echizen

雑誌

研究報告コンピュータセキュリティ(CSEC)

巻号頁・発行日

vol.2011, no.8, pp.1-8, 2011-11-28

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We propose and implement a content-based tampering detective steganography scheme using acoustic data with probative value in this paper. The purpose is to verify and identify malicious modification. Content-based hash function SHA-1 is adapted to detect tampering. After transforming data from time-domain to frequency domain using integer Discrete Cosine Transform (int-DCT), the amplitude of the highest frequency domain is expanded to reserve embedding capacity which is necessary for hiding hash value and index table for hiding. Lossless embedding and extraction algorithm ensure this scheme a reversible alternative scheme to meet the requirements of acoustic media with probative value. Hash digest is applied to data units after the original data is divided to frames to detect tampering in frame unit and to ensure the reversibility of the rest data even tampering occurs partially. The numerical simulation experiments on detection precise and acoustic degradation indicate that the proposed scheme satisfied highly variability and reversibility, while the acoustic degradation of stego data is imperceptible on the basis of the ITU-R BS.1387 (PEAQ) standard.We propose and implement a content-based tampering detective steganography scheme using acoustic data with probative value in this paper. The purpose is to verify and identify malicious modification. Content-based hash function SHA-1 is adapted to detect tampering. After transforming data from time-domain to frequency domain using integer Discrete Cosine Transform (int-DCT), the amplitude of the highest frequency domain is expanded to reserve embedding capacity which is necessary for hiding hash value and index table for hiding. Lossless embedding and extraction algorithm ensure this scheme a reversible alternative scheme to meet the requirements of acoustic media with probative value. Hash digest is applied to data units after the original data is divided to frames to detect tampering in frame unit and to ensure the reversibility of the rest data even tampering occurs partially. The numerical simulation experiments on detection precise and acoustic degradation indicate that the proposed scheme satisfied highly variability and reversibility, while the acoustic degradation of stego data is imperceptible on the basis of the ITU-R BS.1387 (PEAQ) standard.