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Copy–Move Attack Detection from Digital Images: An Image Forensic Approach

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Smart Computing Paradigms: New Progresses and Challenges

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 766))

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Abstract

Due to the new development of image handling tool or software, copy–move attack is increasingly becoming a common practice and on the other hand, the detection of such type of attack from digital images has become the challenging and active research area. This paper presents the recent block and keypoints-based Copy–Move Forgery Detection (CMFD) techniques. In this paper, we cover the critical discussions of different blocks and keypoints-based CMFD techniques with their pros and cons. The paper also describes the different publicly available databases and performance evaluation measures. Some unsolved research issues in the field of copy–move forgery detection is identified and present in this paper.

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Authors and Affiliations

  1. National Institute of Technology Silchar, Silchar, Assam, India

    Badal Soni, Pradip K. Das, Dalton Meitei Thounaojam & Debalina Biswas

  2. Indian Institute of Technology Guwahati, Guwahati, Assam, India

    Badal Soni, Pradip K. Das, Dalton Meitei Thounaojam & Debalina Biswas

Authors
  1. Badal Soni
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  2. Pradip K. Das
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  3. Dalton Meitei Thounaojam
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  4. Debalina Biswas
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Corresponding author

Correspondence to Badal Soni .

Editor information

Editors and Affiliations

  1. Engineering Faculty, Aksaray University, Sağlık, Aksaray, Turkey

    Atilla Elçi

  2. Department of Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela, Odisha, India

    Pankaj Kumar Sa

  3. National Institute of Technology, Goa, India

    Chirag N. Modi

  4. CICESE, Ensenada, Baja California, Mexico

    Gustavo Olague

  5. Department of Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela, Odisha, India

    Manmath N. Sahoo

  6. Department of Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela, Odisha, India

    Sambit Bakshi

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Soni, B., Das, P.K., Thounaojam, D.M., Biswas, D. (2020). Copy–Move Attack Detection from Digital Images: An Image Forensic Approach. In: Elçi, A., Sa, P., Modi, C., Olague, G., Sahoo, M., Bakshi, S. (eds) Smart Computing Paradigms: New Progresses and Challenges. Advances in Intelligent Systems and Computing, vol 766. Springer, Singapore. https://doi.org/10.1007/978-981-13-9683-0_8

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