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Block Based Copy–Move Forgery Detection for Digital Image Forensic

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Proceedings of International Conference on Advanced Computing Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1406))

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Abstract

Security and awareness are deemed as the primary aim in digital forensic research to assess whether a recorded picture is authentic or forged. In the case of digital pictures, this can be a critical task that may be used as evidence for many judgments. Nowadays, anyone can manipulate or create a forged image simply using tools like Photoshop, GIMP, PicsArt, etc. on desktop or on mobile devices. Various image manipulation techniques are available to forge an image, but the copy–move image forgery is considered one of the most popular attacks. Here a region is copied twice or more to manipulate information. For detecting copy–move forgery, we proposed a technique that is based on block-based forgery detection methods and also used a brute force algorithm to speed up the process and reducing the false results to improve the accuracy.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Aliah University, Kolkata, India

    Sandipan Roy

  2. Department of Computer Science, West Bengal State University, Barasat, India

    Kaushik Roy

Authors
  1. Sandipan Roy
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  2. Kaushik Roy
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Kalyani, Kalyani, West Bengal, India

    Jyotsna Kumar Mandal

  2. School of Computing and Information Systems, The University of Melbourne, Melbourne, VIC, Australia

    Rajkumar Buyya

  3. Department of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, West Bengal, Kolkata, West Bengal, India

    Debashis De

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Roy, S., Roy, K. (2022). Block Based Copy–Move Forgery Detection for Digital Image Forensic. In: Mandal, J.K., Buyya, R., De, D. (eds) Proceedings of International Conference on Advanced Computing Applications. Advances in Intelligent Systems and Computing, vol 1406. Springer, Singapore. https://doi.org/10.1007/978-981-16-5207-3_42

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