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A New 8-Directional Pixel Selection Technique of LSB Based Image Steganography

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Cyber Security and Computer Science (ICONCS 2020)

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Abstract

Pixel selection for data hiding becomes crucial for the solutions in spatial domain of steganography to ensure imperceptibility. This paper presents an efficient approach of pixel selection technique for hiding secret data in cover object of image steganography. After reviewing recent literature, it has been observed that most of the works on pixel selection uses zig-zag technique for their solution. However, it becomes very prone to steganalysis based attacks by the intruders. In this study, 8-directions pixel selection technique is proposed to embed data in the cover image where Least Significant Bit (LSB) method has been used on Red, Green and Blue (RGB) color image especially focused on JPG, JPEG, and PNG. Since this projected procedure avoids the known steganalysis techniques, it will be challenging for the attacker to recognize the presence of secret information from the stego image. To measure the quality, statistical analysis has been performed where the value of the quality measurement matrices has provided better results.

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Author information

Authors and Affiliations

  1. Daffodil International University, Dhaka, Bangladesh

    Sheikh Thanbir Alam, Nusrat Jahan & Md. Maruf Hassan

  2. Cyber Security Center, DIU, Dhaka, Bangladesh

    Sheikh Thanbir Alam & Md. Maruf Hassan

Authors
  1. Sheikh Thanbir Alam
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  2. Nusrat Jahan
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  3. Md. Maruf Hassan
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Corresponding author

Correspondence to Md. Maruf Hassan .

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Editors and Affiliations

  1. Daffodil International University, Dhaka, Bangladesh

    Touhid Bhuiyan

  2. Daffodil International University, Dhaka, Bangladesh

    Md. Mostafijur Rahman

  3. Daffodil International University, Dhaka, Bangladesh

    Md. Asraf Ali

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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Alam, S.T., Jahan, N., Hassan, M.M. (2020). A New 8-Directional Pixel Selection Technique of LSB Based Image Steganography. In: Bhuiyan, T., Rahman, M.M., Ali, M.A. (eds) Cyber Security and Computer Science. ICONCS 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 325. Springer, Cham. https://doi.org/10.1007/978-3-030-52856-0_8

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  • DOI: https://doi.org/10.1007/978-3-030-52856-0_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-52855-3

  • Online ISBN: 978-3-030-52856-0

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