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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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References

  • Agilandeeswari L, Ganesan K (2016) A robust color video watermarking scheme based on hybrid embedding techniques. Multimed Tools Appl 75:8745–8780

    Article  Google Scholar 

  • Alotaibi SS (2020) Optimization insisted watermarking model: hybrid firefly and Jaya algorithm for video copyright protection. Soft Comput. https://doi.org/10.1007/s00500-020-04833-8

    Article  Google Scholar 

  • Altay SY, Ulutaş G (2021) Self-adaptive step firefly algorithm based robust watermarking method in DWT-SVD domain. Multimed Tools Appl. https://doi.org/10.1007/s11042-020-10251-7

    Article  Google Scholar 

  • Arab F, Abdullah SM, Hashim SZM, Mana AA, Zamani M (2016) A robust video watermarking technique for the tamper detection of surveillance systems. Multimed Tools Appl 75:10855–10885

    Article  Google Scholar 

  • Asikuzzaman M, Alam MJ, Lambert AJ, Pickering MR (2016) Robust DT CWT-based DIBR 3D video watermarking using chrominance embedding. IEEE Trans Multimed 18(9):1733–1748

    Article  Google Scholar 

  • Ayubi P, Barani M, Valandar M, Irani B, Sadigh R (2021) A new chaotic complex map for robust video watermarking. Artif Intell Rev 54(2):1237–1280

    Article  Google Scholar 

  • Bhardwaj A, Verma VS, Jha RK (2018) Robust video watermarking using significant frame selection based on coefficient difference of lifting wavelet transform. Multimed Tools Appl 77(2018):19659–19678

    Article  Google Scholar 

  • Cao Z, Wang L (2019) A secure video watermarking technique based on hyperchaotic Lorentz system. Multimed Tools Appl 78(2019):26089–26109

    Article  Google Scholar 

  • Chang C, Chou YC, Lu TC (2007) A semi-blind watermarking based on discrete wavelet transform. In: International conference on information and communications security, Berlin, Heidelberg

  • Chuan Q, Wei Z, Fang C, Xinpeng Z, Chin-Chen C (2018) Separable reversible data hiding in encrypted images via adaptive embedding strategy with block selection. Signal Process 153(2018):109–122

    Google Scholar 

  • Dang C, Radha H (2015) RPCA-KFE: Key frame extraction for video using robust principal component analysis. IEEE Trans Image Process 24(11):3742–3753

    Article  MathSciNet  Google Scholar 

  • Doğan S (2016) A new data hiding method based on chaos embedded genetic algorithm for color image. Artif Intell Rev 46(1):129–143

    Article  Google Scholar 

  • Ejaz N, Mehmood I, Baik SW (2014) Feature aggregation based visual attention model for video summarization. Comput Electr Eng 40(3):993–1005

    Article  Google Scholar 

  • Kumar M, Hensman A (2013) Robust digital video watermarking using reversible data hiding and visual cryptography. In: 24th IET Irish signals and systems conference, Ireland

  • Lu ZM, Guo SZ (2017) Lossless information hiding in images. Syngress

    Book  Google Scholar 

  • Furini M, Geraci F, Montangero M et al (2010) STIMO: STIll and MOving video storyboard for the web scenario. Multimed Tools Appl 46:47. https://doi.org/10.1007/s11042-009-0307-7

    Article  Google Scholar 

  • Himeur Y, Boukabou A (2018a) A robust and secure key-frames based video watermarking system using chaotic encryption. Multimed Tools Appl 77:8603–8627

    Article  Google Scholar 

  • Himeur Y, Boukabou A (2018b) A robust and secure key-frames based video watermarking system using chaotic encryption. Multimed Tools Appl 77(7):8603–8627

    Article  Google Scholar 

  • Hou J, Ou B, Tian H, Qin Z (2021) Reversible data hiding based on multiple histograms modification and deep neural network. Signal Process Image Commun 92:11618

    Article  Google Scholar 

  • Huang H-C, Chen Y-H, Abraham A (2010) Optimized watermarking using swarm-based bacterial foraging. J Inf Hiding Multimed Signal Process 1(1):51–58

    Google Scholar 

  • Jia Y, Yin Z, Zhang X, Luo Y (2019) Reversible data hiding based on reducing invalid shifting of pixels in histogram shifting. Signal Process 163(2019):238–246

    Article  Google Scholar 

  • Karmakar A, Phadikar A, Phadikar BS, Maity GK (2016) A blind video watermarking scheme resistant to rotation and collusion attacks. J King Saud Univ Comput Inf Sci 28(2):199–210

    Google Scholar 

  • Katzenbeisser S Petitcolas F (2000) Information hiding techniques for steganography and digital watermarking, United States: information hiding techniques for steganography and digital watermarking

  • Kulkarni P, Kulkarni G (2018) Visual cryptography based grayscale image watermarking in DWT domain. In: 2018 Second international conference on electronics, communication and aerospace technology (ICECA), Coimbatore, India

  • Kumar M, Srivastava S, Hensman A (2016) A hybrid novel approach of video watermarking. Int J Signal Process Image Process Pattern Recognit 9(10):395–406

    Google Scholar 

  • Kumar R, Ki-Hyun J (2020) Robust reversible data hiding scheme based on two-layer embedding strategy. Inf Sci 512:96–107

    Article  MathSciNet  Google Scholar 

  • Li Z, Chen X-W, Ma J (2015) Adaptively imperceptible video watermarking based on the local motion entropy. Multimed Tools Appl 74(2015):2781–2802

    Article  Google Scholar 

  • Li Y, Yao S, Yang K, Tan Y-A, Zhang Q (2019) A high-imperceptibility and histogram-shifting data hiding scheme for JPEG images. IEEE Access 7:73573–73582

    Article  Google Scholar 

  • Malik S, Reddlapalli RK (2019) Histogram and entropy based digital image watermarking scheme. Int J Inf Technol 11(2019):373–379

    Google Scholar 

  • Mishra A, Agarwal C, Sharma A, Bedi P (2014) Optimized gray-scale image watermarking using DWT–SVD and firefly algorithm. Expert Syst Appl 41(17):7858–7867

    Article  Google Scholar 

  • Mustafa Bilgehan I, Mustafa U, Guzin U (2017) A new reversible database watermarking approach with firefly optimization algorithm. Math Prob Eng. https://doi.org/10.1155/2017/1387375

    Article  Google Scholar 

  • Nasrullah N, Sang J, Mateen M, Akbar MA, Xiang H, Xia X (2019) Reversible data hiding in compressed and encrypted images by using Kd-tree. Multimed Tools Appl 78:17535–17554

    Article  Google Scholar 

  • Noor R, Khan A, Sarfaraz A, Mehmood Z, Cheema AM (2019) Highly robust hybrid image watermarking approach using Tchebichef transform with secured PCA and CAT encryption. Soft Comput 23(2019):9821–9829

    Article  Google Scholar 

  • Rajkumar R, Vasuki A (2019) Reversible and robust image watermarking based on histogram shifting. Clust Comput 22:12313–12323

    Article  Google Scholar 

  • Rasti P, Samiei S, Agoyi M, Escalera S, Anbarjafari G (2016) Robust non-blind color video watermarking using QR decomposition and entropy analysis. J Vis Commun Image Represent 38(2016):838–847

    Article  Google Scholar 

  • Senthilnathan T, Prabu P, Sivakumar R, Sakthivel S (2019) An enhancing reversible data hiding for secured data using shuffle block key encryption and histogram bit shifting in cloud environment. Clust Comput 22(2019):12839–12847

    Article  Google Scholar 

  • Shah M, Zhang W, Hu H, Zhou H, Mahmood T (2018) Homomorphic encryption-based reversible data hiding for 3D mesh models. Arab J Sci Eng 43:8145–8157

    Article  Google Scholar 

  • Singh TR, Singh KM, Roy S (2013) Video watermarking scheme based on visual cryptography and scene change detection. AEU-Int J Electron C 67(8):645–651

    Article  Google Scholar 

  • Tang Z, Xu S, Yao H, Qin C, Zhang X (2019) Reversible data hiding with differential compression in encrypted image. Multimed Tools Appl 78(2019):9691–9715

    Article  Google Scholar 

  • Thakur S, Singh A, Ghrera S, Elhoseny M (2019) Multi-layer security of medical data through watermarking and chaotic encryption for tele-health applications. Multimed Tools Appli 78(3):3457–3470

    Article  Google Scholar 

  • Thanki R, Kothari A, Trivedi D (2019) Hybrid and blind watermarking scheme in DCuT–RDWT domain. J Inf Secur Appl 46:231–249

    Google Scholar 

  • Wang C, Shan R, Zhou X (2018) Anti-HEVC recompression video watermarking algorithm based on the all phase biorthogonal transform and SVD. IETE Tech Rev 35(2018):42–58

    Article  Google Scholar 

  • Weng S, Zhang C, Zhang T, Chen K (2021) High capacity reversible data hiding in encrypted images using SIBRW and GCC. J Vis Commun Image Represent 75:102932

    Article  Google Scholar 

  • Xu D, Chen K, Wang R, Su S (2018) Separable reversible data hiding in encrypted images based on two-dimensional histogram modification. Secur Commun Netw. https://doi.org/10.1155/2018/1734961

    Article  Google Scholar 

  • Yang X (2009) Nature-inspired metaheuristic algorithms. Luniver press

    Google Scholar 

  • Youssef SM, ElFarag AA, Ghatwary NM (2014) Adaptive video watermarking integrating a fuzzy wavelet-based human visual system perceptual model. Multimed Tools Appl 73(2014):1545–1573

    Article  Google Scholar 

  • Zhao J, Li Z (2018) Three-dimensional histogram shifting for reversible data hiding. Multimed Syst 24:95–109

    Article  Google Scholar 

Download references

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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