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Coverless Video Steganography Based on Inter Frame Combination

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Geometry and Vision (ISGV 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1386))

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Abstract

In most coverless image steganography methods, the number of images increases exponentially with the increase of hidden message bits, which is difficult to construct such a dataset. And several images in semantic irrelevance are usually needed to represent more secret message bits, which are easy to cause the attacker’s attention and bring some insecurity. To solve these two problems, a coverless video steganography method based on inter frame combination is proposed in this manuscript. In the proposed method, the hash sequence of a frame is generated by the CNNs and hash generator. To hide more information bits in one video, a special mapping rule is proposed. Through this mapping rule, some key frames in one video are selected. In the selected frames, one or several frames are used to represent a piece of information with equal length. To quickly index out the corresponding frames, a three-level index structure is proposed in this manuscript. Since the proposed coverless video steganography method does not embed one bit in video, it can effectively resist steganalysis algorithms. The experimental results and analysis show that the proposed method has a large capacity, good robustness and high security.

This work was supported in part by Natural Science Foundation of China (U1736122), in part by Natural Science Foundation for Distinguished Young Scholars of Shandong Province (JQ201718).

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Zou, L., Wan, W., Wei, B., Sun, J. (2021). Coverless Video Steganography Based on Inter Frame Combination. In: Nguyen, M., Yan, W.Q., Ho, H. (eds) Geometry and Vision. ISGV 2021. Communications in Computer and Information Science, vol 1386. Springer, Cham. https://doi.org/10.1007/978-3-030-72073-5_11

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  • DOI: https://doi.org/10.1007/978-3-030-72073-5_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-72072-8

  • Online ISBN: 978-3-030-72073-5

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