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Multi Perspectives Steganography Algorithm for Color Images on Multiple-Formats

Author

Listed:
  • Shahid Rahman

    (Department of Computer Science, Qurtuba University of Science and Information Technology (QUST), Peshawar 25124, Pakistan)

  • Jamal Uddin

    (Department of Computer Science, Qurtuba University of Science and Information Technology (QUST), Peshawar 25124, Pakistan)

  • Hameed Hussain

    (Department of Computer Science, University of Buner, Buner 19290, Pakistan)

  • Salman Jan

    (Malaysian Institute of Information Technology, Universiti Kuala Lumpur, Kuala Lumpur 50250, Malaysia)

  • Inayat Khan

    (Department of Computer Science, University of Engineering and Technology, Mardan 23200, Pakistan)

  • Muhammad Shabir

    (Department of Computer Science, University of Buner, Buner 19290, Pakistan)

  • Shahrulniza Musa

    (Malaysian Institute of Information Technology, Universiti Kuala Lumpur, Kuala Lumpur 50250, Malaysia)

Abstract

The Internet and Big Data expansion have motivated the requirement for more generous stockpiling to hold and share information. Against the current era of information, guaranteeing protection and security to individuals sending data to each other is of utmost importance. The only file type that is instantly and widely used is the image. Therefore, to secure transmission, it is necessary to develop a mechanism to safeguard user data transmission. Considering this thought, it is necessary to analyze the best file type of image for essential criteria of image steganography, such as Payload, Robustness, Imperceptibility, etc., to challenge the weakness of the current algorithms. The widely used image formats are PNG, TIFF, JPEG, BMP, and GIF, which is the cause of existing methods. However, in this case, the critical softness is the credibility of the steganography, which plays a vital role in these format images to ensure the end users communicate. In this paper, a single algorithm provides several advantages for various types of images used as cover objects. However, after the critical and comparative analysis of different perspectives and some assessment metrics, the experimental results prove the importance, significance, and promising limits for these image formats by accomplishing a 4.4450% normal higher score for PSNR correlation than the next best existing methodology. Besides, in PSNR with a variable measure of code implanted in similar pictures of similar aspects, the proposed approach accomplished a 6.33% better score. Encrypting similar code sizes in pictures of various dimensions brought about a 4.23% better score. Embedding the same message size into the same dimension of different images resulted in a 3.222% better score.

Suggested Citation

  • Shahid Rahman & Jamal Uddin & Hameed Hussain & Salman Jan & Inayat Khan & Muhammad Shabir & Shahrulniza Musa, 2023. "Multi Perspectives Steganography Algorithm for Color Images on Multiple-Formats," Sustainability, MDPI, vol. 15(5), pages 1-22, February.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4252-:d:1082147
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