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An efficient steganography technique based on S2OA & DESAE model

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Abstract

This paper gives a novel and efficient steganography technique based on hybrid algorithms that improves the various important parameters like PSNR, MSE, IF, capacity, security. It increases the security of the confidential data by using the encryption method and give improved quality of stego images with less error rate. This paper utilizes a grouping of wavelet domain & Salp Swarm based Optimization Algorithm (SSOA) and proposed embedding process for increasing the payload capacity. Initially, the integer discrete wavelet transform is utilized to process the cover image and DWT to extract the hidden image accurately. Furthermore, an edge localization process is proposed to localize the edge region of detail bands efficiently, which can be done by SSO Algorithm. To enhance the quality of the stego pictures, a deep enhanced stacked auto encoder (DESAE) has been proposed. The evaluation result of this technique achieves good image quality and high security. Also, it increases the payload capacity of the existing methods, which confirms the superiority of the proposed method compared to previous related techniques.

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

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The code is available from the first author upon reasonable request.

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Acknowledgements

This work was supported by PMU Cybersecurity Center Research Grant (PCC-Grant-202222), Prince Mohammad Bin Fahd University, Kingdom of Saudi Arabia.

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Authors and Affiliations

  1. Panipat Institute of Engineering and Technology, Samalkha, India

    Sachin Dhawan & Arun Kumar Rana

  2. NSUT East Campus, Geeta Colony, Delhi, India

    Rashmi Gupta

  3. Department of Information Technology, Vignan’s Foundation for Science, Technology and Research (Deemed to be University), Kurnool, Andhra Pradesh, India

    Hemanta Kumar Bhuyan

  4. Center for Artificial Intelligence, Prince Mohammad Bin Fahd University, Khobar, 34754, Saudi Arabia

    Ravi Vinayakumar

  5. Krupajal Computer Academy, Biju Patnaik University of Technology, Bhubaneswar, Odisha, India

    Subhendu Kumar Pani

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  1. Sachin Dhawan
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Correspondence to Ravi Vinayakumar.

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Dhawan, S., Gupta, R., Bhuyan, H.K. et al. An efficient steganography technique based on S2OA & DESAE model. Multimed Tools Appl 82, 14527–14555 (2023). https://doi.org/10.1007/s11042-022-13798-9

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