Reversible data hiding based on histogram and prediction error for sharing secret data
作者机构：Department of InformaticsInstitut Teknologi Sepuluh Nopember(ITS)Kampus ITS Keputih SukoliloSurabaya60111Indonesia
出 版 物：《Cybersecurity》 (网络空间安全科学与技术（英文）)
年 卷 期：2023年第6卷第4期
页 面：109-122页
核心收录：
学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：This research was supported by the Ministry of Education Culture Research and Technology The Republic of Indonesia Institut Teknologi Sepuluh Nopember and Universitas 17 Agustus 1945 Surabaya
主 题：Data hiding Secret image sharing Prediction error expansion Histogram-based embedding Network infrastructure
摘 要：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.
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