Title: Robust, imperceptible and blind video steganography using RGB secret, maximum likelihood estimation and Fibonacci encryption

Authors: Barnali Gupta Banik; Abhinandan Banik

Addresses: Department of Computer Science and Engineering, St. Thomas' College of Engineering and Technology, 4, D.H. Road, Khidderpore, Kolkata 700023, India ' Work Integrated Learning Program, BITS Pilani Hyderabad, 500033, India

Abstract: According to the International Telecommunication Union, currently 51% of the world's population has internet access, out of which over 80% prefers video sharing. Henceforth for secure communication, secret data hiding in video can be a viable option. Here a blind, key-based video steganography has been proposed which can hide RGB image within a colour video. The novelty of this approach lies in the security imposed by various factors including scene change detection by maximum likelihood estimation; pre-processing of secret image by Fibonacci encryption and discrete wavelet transform based keyed embedding technique, which can hide colour images without any perceivable differences and does not require cover video frame during extraction. Quality of the method has been analysed by peak signal to noise ratio, structural similarity index, normalised absolute error and correlation coefficient; robustness has been tested against random cropping, rotating, resizing and histogram equalization; comparison with the literature demonstrates its superiority.

Keywords: data privacy; information security; video sharing; image colour analysis; encryption; discrete wavelet transforms; DWTs.

DOI: 10.1504/IJESDF.2020.10027594

International Journal of Electronic Security and Digital Forensics, 2020 Vol.12 No.2, pp.174 - 199

Received: 28 Feb 2019
Accepted: 01 Apr 2019

Published online: 02 Apr 2020 *

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