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Secure video communication using firefly optimization and visual cryptography

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Abstract

In recent years, we face an increasing interest in protecting multimedia data and copyrights due to the high exchange of information. Attackers are trying to get confidential information from various sources, which brings the importance of securing the data. Many researchers implemented techniques to hide secret information to maintain the integrity and privacy of data. In order to protect confidential data, histogram-based reversible data hiding with other cryptographic algorithms are widely used. Therefore, in the proposed work, a robust method for securing digital video is suggested. We implemented histogram bit shifting based reversible data hiding by embedding the encrypted watermark in featured video frames. Histogram bit shifting is used for hiding highly secured watermarks so that security for the watermark symbol is also being achieved. The novelty of the work is that only based on the quality threshold a few unique frames are selected, which holds the encrypted watermark symbol. The optimal value for this threshold is obtained using the Firefly Algorithm. The proposed method is capable of hiding high-capacity data in the video signal. The experimental result shows the higher capacity and video quality compared to other reversible data hiding techniques. The recovered watermark provides better identity identification against various attacks. A high value of PSNR and a low value of BER and MSE is reported from the results.

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Author information

Authors and Affiliations

  1. School of Computer Science, University of Petroleum and Energy Studies (UPES), Dehradun, India

    Manoj Kumar

  2. Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, India

    Jyoti Aggarwal

  3. Department of Computer Science, G L Bajaj Institute of Technology and Management, Greater Noida, India

    Anuj Rani

  4. Department of Computer Science and Engineering, Faculty of Engineering and Technology, M. S. Ramaiah University of Applied Sciences, Bangalore, Karnataka, India

    Thompson Stephan

  5. Department of Computer Science and Engineering, Amity University, Noida, India

    Achyut Shankar

  6. Centre for Artificial Intelligence Research and Optimisation, Torrens University Australia, Fortitude Valley, Brisbane, QLD, 4006, Australia

    Seyedali Mirjalili

  7. Yonsei Frontier Lab, Yonsei University, Seoul, South Korea

    Seyedali Mirjalili

Authors
  1. Manoj Kumar
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  2. Jyoti Aggarwal
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  3. Anuj Rani
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  4. Thompson Stephan
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  5. Achyut Shankar
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  6. Seyedali Mirjalili
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Correspondence to Seyedali Mirjalili.

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Kumar, M., Aggarwal, J., Rani, A. et al. Secure video communication using firefly optimization and visual cryptography. Artif Intell Rev 55, 2997–3017 (2022). https://doi.org/10.1007/s10462-021-10070-8

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