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Titlebook: Digital Forensics and Watermarking; 16th International W Christian Kraetzer,Yun-Qing Shi,Hyoung Joong Kim Conference proceedings 2017 Sprin

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书目名称Digital Forensics and Watermarking
副标题16th International W
编辑Christian Kraetzer,Yun-Qing Shi,Hyoung Joong Kim
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Digital Forensics and Watermarking; 16th International W Christian Kraetzer,Yun-Qing Shi,Hyoung Joong Kim Conference proceedings 2017 Sprin
描述.This book constitutes the refereed proceedings of the 16th International Workshop on Digital Forensics and Watermarking, IWDW 2017, held in Magdeburg, Germany,in August 2017.. The 30 papers presented in this volume were carefully reviewed and selected from 48 submissions. The contributions are covering the state-of-the-art theoretical and practical developments in the fields of digital watermarking, steganography and steganalysis,forensics and anti-forensics, visual cryptography, and other multimedia-related security issues. Also included are the papers on two special sessions on biometric image tampering detection and on emerging threats of criminal use of informationhiding : usage  scenarios and detection approaches..
出版日期Conference proceedings 2017
关键词steganography and steganalysis; digital watermarking; media forensics; source authentication; manipulati
版次1
doihttps://doi.org/10.1007/978-3-319-64185-0
isbn_softcover978-3-319-64184-3
isbn_ebook978-3-319-64185-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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https://doi.org/10.1007/978-1-137-05617-7o adjacent positions would be changed. The histogram feature of difference matrix of DCT coefficients is used to measure it. The experimental results show that the proposed method obtains a outstanding detection accuracy.
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Resource Allocation in Wireless Networksd on the dataset consisting of 17,136 HD sequences. The Experimental results prove the correctness of the previous conclusion and the practicability of the proposed channel model, and show that our algorithm outperforms the existing HEVC steganography algorithm in capacity and perceptibility.
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Regulating the Resource Juggernautedding costs are assigned to the audio samples. Finally, the STC is used to create the stego audio. The extensive results evaluated on 10,000 music and 10,000 speech audio clips have shown that our method can significantly outperform the conventional . LSB based steganography in terms of security and audio quality.
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Coding Efficiency Preserving Steganography Based on HEVC Steganographic Channel Modeld on the dataset consisting of 17,136 HD sequences. The Experimental results prove the correctness of the previous conclusion and the practicability of the proposed channel model, and show that our algorithm outperforms the existing HEVC steganography algorithm in capacity and perceptibility.
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