An embedding strategy on fusing multiple image features for data hiding in multiple images |
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| Affiliation: | 1. College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China;2. State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China;1. University of São Paulo, Institute of Mathematics and Statistics, São Paulo, SP, Brazil;2. Universidade Federal de São Paulo, Instituto de Ciência e Tecnologia, São José dos Campos, SP, Brazil;3. University of Campinas, Institute of Computing, Campinas, SP, Brazil;1. School of Architecture, South China University of Technology, Guangzhou 510641, China;2. Foreign Language Teaching Department, Guang Zhou Vocational School of Finance and Economics, Guang Zhou 510080, China;3. School of Financial Mathematics and Statistics, GuangDong University of Finance, Guangzhou 510521, China;1. Department of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China;2. College of information, Liaoning University, Liaoning 110036, China;1. UFSCar - Federal University of São Carlos, Department of Computing, São Carlos, Brazil;2. UNESP - São Paulo State University, School of Sciences, Bauru, Brazil;3. UNESP - São Paulo State University, School of Sciences, Bauru, Brazil;4. Ostbayerische Technische Hochschule, Regensburg, Germany;5. UNICAMP - University of Campinas, Institute of Computing, Campinas, Brazil |
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| Abstract: | Data hiding in multiple images has been a significant research direction in information security. How to reasonably design the embedding strategy to spread the payload among multiple images is still an open issue. In this paper, we propose an embedding strategy on fusing multiple features. We utilize the typical characteristic parameters of gray level co-occurrence matrix, the image entropy and the shape parameter to describe image complexity. Furthermore, we combine with the number of cover images, the number of cover images assigned to steganographer and the size of cover image to estimate the steganographic capacity of each image. The strategy is implemented together with some state-of-the-art single image steganographic algorithms. Experimental results demonstrate that the security performance of the proposed strategy is higher than that of the state-of-the-art embedding strategy against the blind universal pooled steganalysis. |
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| Keywords: | Multiple images steganography Embedding strategy Multiple image features Image complexity Steganographic capacity |
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