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Forensic Analysis of Images on Online Social Network: A Survey

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Soft Computing for Security Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1428))

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Abstract

In today’s world as the use of social media sites increases, the sharing of information also increases. This often impacts the new generation socially as well as politically. Digital images play a major role in providing a proof for any event. Forensic experts use digital images in their forensic inspection. Manipulation of digital images is very easy with the help of photo editing software such as Corel paint shop pro, Cameraman 360, Photoshop, and Adobe image shop. An ordinary person can make changes to an image in a very sophisticated manner by utilizing these software that are available online as well as offline. Thus, forged images can also be used as fake or planted evidence in criminal cases. This paper represents a detailed literature survey of digital image forensics. First, we will cover the overview or introduction to detect the various types of image forgery detection methods, including active as well as passive methods. It will also present a detailed survey of passive image forgery detection which is also called as blind image forgery detection. Also, the motive of this paper is to help the researchers in future for proposing appropriate structured algorithm for detecting the originality of digital image.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Jamia Hamdard, New Delhi, 110062, India

    Khushaima Hilal & Ezan Abdullah

Authors
  1. Khushaima Hilal
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  2. Ezan Abdullah
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Correspondence to Khushaima Hilal .

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Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Gnanamani College of Technology, Namakkal, Tamil Nadu, India

    G. Ranganathan

  2. Ryerson Communications Lab, Toronto, ON, Canada

    Xavier Fernando

  3. Department of Information Systems, University of Florida, Gainesville, FL, USA

    Selwyn Piramuthu

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Hilal, K., Abdullah, E. (2023). Forensic Analysis of Images on Online Social Network: A Survey. In: Ranganathan, G., Fernando, X., Piramuthu, S. (eds) Soft Computing for Security Applications. Advances in Intelligent Systems and Computing, vol 1428. Springer, Singapore. https://doi.org/10.1007/978-981-19-3590-9_19

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