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Journal of New Media 2023年第1期5卷 45-53页

作者： Yao Wan Lingzhi Liao Zhili Zhou Hengfu Yang Fei Peng Zhilin Huo Engineering Research Center of Digital Forensics Ministry of EducationNanjing University of Information Science and TechnologyNanjing210044China School of Software Nanjing University of Information Science and TechnologyNanjing210044China Institute of Artificial Intelligence and Blockchain Guangzhou UniversityGuangzhou510006GuangdongChina Department of Information Science and Engineering Hunan First Normal UniversityChangsha410205China CSSC Systems Engineering Research Institute BeijingChina

secret image sharing(SIS)is a significant research topic of image information hiding,which divides the image into multiple shares and dis-tributes them to multiple parties for management and *** order to reconstruct the original image,a subset with predetermined number of shares is *** just because it is not necessary to use all of the shares to make a reconstruction,SIS creates a high fault tolerance which breaks the limitations of traditional image protection methods,but at the same time,it causes a reduce of ***,new technologies,such as deep learning and blockchain,have been applied into SIS to improve its efficiency and *** paper gives an overall review of SIS,discusses four important approaches for SIS,and makes a comparison analysis among them from the perspectives of pixel expansion,tamper resistance,*** the end,this paper indicates the possible research directions of SIS in the future.

关键词： secret image sharing blockchain deep learning

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Reversible data hiding based on histogram and prediction error for sharing secret data

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Cybersecurity 2023年第4期6卷 109-122页

作者： Chaidir Chalaf Islamy Tohari Ahmad Royyana Muslim Ijtihadie Department of Informatics Institut Teknologi Sepuluh Nopember(ITS)Kampus ITS Keputih SukoliloSurabaya60111Indonesia

With the advancement of communication technology,a large number of data are constantly transmitted through the internet for various purposes,which are prone to be illegally accessed by third ***,securing such data is crucial to protect the transmitted information from falling into the wrong *** data protection schemes,secret image sharing is one of the most popular *** protects critical messages or data by embedding them in an image and sharing it with some ***,it combines the security concepts in that private data are embedded into a cover image and then secured using the secret-sharing *** its advantages,this method may produce noise,making the resulting stego file much different from its ***,the size of private data that can be embedded is *** research works on these problems by utilizing prediction-error expansion and histogram-based approaches to embed the *** recover the cover image,the SS method based on the Chinese remainder theorem is *** experimental results indicate that this proposed method performs better than similar methods in several cover images and scenarios.

关键词： Data hiding secret image sharing Prediction error expansion Histogram-based embedding Network infrastructure

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