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Pixel Value Differencing of Image Steganography in Substitution Technique: A Survey

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Data Driven Approach Towards Disruptive Technologies

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Abstract

The main concern is security for everyone in today’s world. Data are embedded in digital media for hiding. Cryptography and steganography are mostly used for security of data. By seeing an image, one cannot come to know about hidden data inside. This process of hiding data in digital media for security is called image steganography. Many algorithms are available in spatial domain of image steganography for embedding data in cover image. Many criteria are there for evaluating security against detection of particular algorithm. Criteria are like capacity, quality, detection, etc. Pixel value differencing algorithm is well known for its payload capacity, detection and quality. Here different PVD methods and its comparisons are given.

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Authors and Affiliations

  1. Saurashtra University, Rajkot, India

    Vaidya Krishna & Kargathara Afsana

  2. Department of Computer Science, Saurashtra University, Rajkot, India

    C. K. Kumbharana

Authors
  1. Vaidya Krishna
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  2. Kargathara Afsana
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  3. C. K. Kumbharana
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Corresponding author

Correspondence to Vaidya Krishna .

Editor information

Editors and Affiliations

  1. Department of Informatics, University of Petroleum and Energy Studies (UPES), Dehradun, Uttarakhand, India

    T P Singh

  2. Department of Informatics, University of Petroleum and Energy Studies (UPES), Dehradun, Uttarakhand, India

    Ravi Tomar

  3. Department of Informatics, University of Petroleum and Energy Studies (UPES), Dehradun, Uttarakhand, India

    Tanupriya Choudhury

  4. Department of Computer Science, Faculty of CS and IT, Universiti Putra Malaysia, Seri Kembangan, Selangor, Malaysia

    Thinagaran Perumal

  5. Department of Computer and Software Engineering, University of Diyala, Baquba, Iraq

    Hussain Falih Mahdi

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Krishna, V., Afsana, K., Kumbharana, C.K. (2021). Pixel Value Differencing of Image Steganography in Substitution Technique: A Survey. In: Singh, T.P., Tomar, R., Choudhury, T., Perumal, T., Mahdi, H.F. (eds) Data Driven Approach Towards Disruptive Technologies. Studies in Autonomic, Data-driven and Industrial Computing. Springer, Singapore. https://doi.org/10.1007/978-981-15-9873-9_2

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