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A Novel Invisible Watermarking Approach for Double Authentication of Image Content

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Machine Learning, Image Processing, Network Security and Data Sciences (MIND 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1240))

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Abstract

Nowadays, digital watermarking approaches are proposed for content authentication of digital images. Digital watermarking is a technique that is used to embed watermarks into a digital image. In this work, a novel double authentication mechanism is proposed to ensure the authenticity of image content based on the hash function and signature value. The suggested technique is capable of finding malicious image manipulation even if simple image processing operations have unintentionally corrupted them. Using the hash function, the difficulty level of finding embedded bits is increased and this scheme also withstands any kind of attacks. Moreover, the proposed technique is simple which is based on modifying a single pixel value in the host image itself using the surrounding pixels i.e., neighboring pixels. Experimental results are shown to illustrate the system’s capability to detect unauthorized image alteration.

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Authors and Affiliations

  1. CSE, National Institute of Technology, Tiruchirappalli, Tiruchirappalli, India

    R. Vidhya & M. Brindha

Authors
  1. R. Vidhya
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  2. M. Brindha
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Corresponding author

Correspondence to M. Brindha .

Editor information

Editors and Affiliations

  1. National Institute of Technology Silchar, Silchar, India

    Arup Bhattacharjee

  2. National Institute Of Technology Silchar, Silchar, India

    Samir Kr. Borgohain

  3. National Institute of Technology Silchar, Silchar, India

    Badal Soni

  4. National Institute of Technology Kurukshetra, Kurukshetra, India

    Gyanendra Verma

  5. University of Eastern Finland, Kuopio, Finland

    Xiao-Zhi Gao

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Vidhya, R., Brindha, M. (2020). A Novel Invisible Watermarking Approach for Double Authentication of Image Content. In: Bhattacharjee, A., Borgohain, S., Soni, B., Verma, G., Gao, XZ. (eds) Machine Learning, Image Processing, Network Security and Data Sciences. MIND 2020. Communications in Computer and Information Science, vol 1240. Springer, Singapore. https://doi.org/10.1007/978-981-15-6315-7_27

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  • DOI: https://doi.org/10.1007/978-981-15-6315-7_27

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-6314-0

  • Online ISBN: 978-981-15-6315-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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