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Titlebook: Digital Forensics and Watermarking; 19th International W Xianfeng Zhao,Yun-Qing Shi,Hyoung Joong Kim Conference proceedings 2021 Springer N

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Maria Regina Celestino de Almeidamages. The pixel prediction error and the cost of the pixel value itself are joint to fit the unique properties of enhanced image. Given a cover image, each pixel is predicted by its neighbors. The prediction error, which reflects the texture complexity, are combined with the cost of the pixel value
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Benita Herreros Cleret de Langavantds are based on single modality of carriers and embed confidential information into the carriers by cover modification or cover synthesis. Since the distortions between the covers after embedding and the original covers are inevitable, these steganography methods can be detected by the existing steg
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Maria Regina Celestino de Almeidaystem (BIS), and has been applied to many fields successfully by exploit its characteristics of self-learning and self-organizing. In this paper, we open a new field for applications of AIS, namely, immune cover construction for steganography application. We proposed an AIS-based steganography frame
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https://doi.org/10.1007/978-3-319-17807-3 may bring great challenges in the governance of cyberspace security. The previous linguistic steganalysis methods based on neural networks with word embedding layer could only extract the context-independent word-level features, which are insufficient for capturing the complex semantic dependencies
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Yabing Chen,Kaiyu Yuan,Jay McDonaldmunicated with each other is seldom protected. It can be dangerous because they often have very secret relationship. Noticeably, in recent two years some researchers respectively proposed robust and secure steganographic schemes which realize dependable steganography in the lossy channel of social m
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https://doi.org/10.1007/978-3-031-56529-8uthorized users, trusting that the data will not be disclosed to third parties. Digital watermarking for data leakage detection aims to prevent the unauthorized disclosure of data by imperceptibly marking the data for each authorized user, so that the authorized user can be identified as the data le
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