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Security of Digital Images Based on Stream Cipher and MDS Matrix

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Computer Vision and Image Processing (CVIP 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1376))

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Abstract

Stream ciphers are extensively used over a wide range of applications including security of digital data. In this paper, a method for securing different types of images (binary, gray scale, true color and index) based on stream cipher (RC4A) and MDS (Maximum Distance Separable) matrix is proposed. The proposed scheme is based on the cryptographic Permutation-Substitution Network (PSN) and hence achieves Shannon’s confusion-diffusion characteristics required for a robust encryption algorithm. The scheme encrypts a digital image into a random-like image from human visual as well as statistical point of view. Several encryption evaluation metrics are applied on test images to empirically assess the performance and efficiency of the proposed method. The consequences of these statistical and security tests support the concreteness of the proposed approach.

Supported by the UGC (University Grants Commission), India under grant number [415024].

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Author information

Authors and Affiliations

  1. Department of Mathematics and Astronomy, University of Lucknow, Lucknow, 226007, UP, India

    Abdul Gaffar, Anand B. Joshi & Dhanesh Kumar

Authors
  1. Abdul Gaffar
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  2. Anand B. Joshi
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  3. Dhanesh Kumar
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Editor information

Editors and Affiliations

  1. Indian Institute of Information Technology Allahabad, Prayagraj, India

    Satish Kumar Singh

  2. Indian Institute of Technology Roorkee, Roorkee, India

    Partha Roy

  3. Indian Institute of Technology Roorkee, Roorkee, India

    Balasubramanian Raman

  4. Indian Institute of Information Technology Allahabad, Prayagraj, India

    P. Nagabhushan

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Gaffar, A., Joshi, A.B., Kumar, D. (2021). Security of Digital Images Based on Stream Cipher and MDS Matrix. In: Singh, S.K., Roy, P., Raman, B., Nagabhushan, P. (eds) Computer Vision and Image Processing. CVIP 2020. Communications in Computer and Information Science, vol 1376. Springer, Singapore. https://doi.org/10.1007/978-981-16-1086-8_11

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  • DOI: https://doi.org/10.1007/978-981-16-1086-8_11

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-1085-1

  • Online ISBN: 978-981-16-1086-8

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