Browsing by Author "Narayanan, R."

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    A Novel Approach to Video Steganography using a 3D Chaotic Map
    (Institute of Electrical and Electronics Engineers Inc., 2019) Narayanan, G.; Narayanan, R.; Haneef, N.; Chittaragi, N.B.; Koolagudi, S.G.
    In this paper, we introduce a novel approach for data-hiding in videos using 3-dimensional Chaotic Maps. A video is represented as a 3-dimensional image, with the third axis constituting the frames of the video. Existing chaotic map based data-hiding techniques on videos is confined to applications of 2-dimensional chaotic maps on a per-frame basis. In this paper, a 3-dimensional extension of the logistic chaos map is applied to identify pixels to encode information in the video's 3-dimensional space and 3-3-2 Least Significant Bit (LSB) substitution is used to encode 1 byte of information per pixel. We have implemented and presented a proof of concept that has been analyzed on a test video using various quality metrics. The chaotic map based data-hiding approach proposed in this paper is shown to be secured and the results observed are inline with the standard results for a video steganographic algorithm using LSB substitution. © 2019 IEEE.
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    A Novel Approach to Video Steganography using a 3D Chaotic Map
    (2019) Narayanan, G.; Narayanan, R.; Haneef, N.; Chittaragi, N.B.; Koolagudi, S.G.
    In this paper, we introduce a novel approach for data-hiding in videos using 3-dimensional Chaotic Maps. A video is represented as a 3-dimensional image, with the third axis constituting the frames of the video. Existing chaotic map based data-hiding techniques on videos is confined to applications of 2-dimensional chaotic maps on a per-frame basis. In this paper, a 3-dimensional extension of the logistic chaos map is applied to identify pixels to encode information in the video's 3-dimensional space and 3-3-2 Least Significant Bit (LSB) substitution is used to encode 1 byte of information per pixel. We have implemented and presented a proof of concept that has been analyzed on a test video using various quality metrics. The chaotic map based data-hiding approach proposed in this paper is shown to be secured and the results observed are inline with the standard results for a video steganographic algorithm using LSB substitution. � 2019 IEEE.