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A secure video data streaming model using modified firefly and SVD technique

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Abstract

Due to the expression of sharing information, there has been an increase in interest in safeguarding multimedia information and copyrights in recent times. Attackers are attempting to obtain sensitive information from a variety of sources, emphasizing the significance of data security. Singular value decomposition (SVD) is used to ensure data confidentiality and authenticity, and several researchers used strategies to obscure hidden information. The false-positive error problem of SVD is diminished due to the presence of an embedded watermark image and there is no possibility of counterfeit. By integrating with discrete wavelet transform (DWT), the performance is improved as well as the error is minimized. The secure watermarks has been hidden based on singular value decomposition discrete wavelet transform for 2 dimension (SVD-DWT2D). Then this secure watermark symbols are analysed using reversible data concealing alongside other watermarking techniques which are used frequently for securing the data privacy. The best threshold value is determined for evaluating the originality and the complicated frames are selected after the testing process. The video quality is predicted based on the threshold value. The UCF101 dataset is determined to validate the efficiency of the proposed method and, thus, enhanced the video quality. The proposed method achieves greater ability and video quality of 69db PSNR value and 0.362 MSE value, respectively. Based on the experimental analysis the proposed SVD-DWT2D based reversible data concealing model attained optimal results in securing the digital video by incorporating featured watermarks in the video sequence.

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Data availability statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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Authors and Affiliations

  1. Department of Information Technology, Panimalar Engineering College, Varadharajapuram, Poonamallee, Chennai, India

    K. Muthulakshmi

  2. Department of Computer Science and Engineering, Panimalar engineering college, Varadharajapuram, Poonamallee, Chennai, India

    K. Valarmathi

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  1. K. Muthulakshmi
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Contributions

KM agreed on the content of the study. KM and KV collected all the data for analysis. KM agreed on the methodology. KM and KV completed the analysis based on agreed steps. Results and conclusions are discussed and written together. All authors read and approved the final manuscript.

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Correspondence to K. Muthulakshmi.

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Muthulakshmi, K., Valarmathi, K. A secure video data streaming model using modified firefly and SVD technique. Multimedia Systems 30, 86 (2024). https://doi.org/10.1007/s00530-024-01268-1

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