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Digital Image Forensics

Theory and Implementation

  • Aniket Roy
  • Rahul Dixit
  • Ruchira Naskar
  • Rajat Subhra Chakraborty
Book

Part of the Studies in Computational Intelligence book series (SCI, volume 755)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Aniket Roy, Rahul Dixit, Ruchira Naskar, Rajat Subhra Chakraborty
    Pages 1-10
  3. Aniket Roy, Rahul Dixit, Ruchira Naskar, Rajat Subhra Chakraborty
    Pages 11-26
  4. Aniket Roy, Rahul Dixit, Ruchira Naskar, Rajat Subhra Chakraborty
    Pages 27-56
  5. Aniket Roy, Rahul Dixit, Ruchira Naskar, Rajat Subhra Chakraborty
    Pages 57-64
  6. Aniket Roy, Rahul Dixit, Ruchira Naskar, Rajat Subhra Chakraborty
    Pages 65-77
  7. Aniket Roy, Rahul Dixit, Ruchira Naskar, Rajat Subhra Chakraborty
    Pages 79-86
  8. Aniket Roy, Rahul Dixit, Ruchira Naskar, Rajat Subhra Chakraborty
    Pages 87-89

About this book

Introduction

This book discusses blind investigation and recovery of digital evidence left behind on digital devices, primarily for the purpose of tracing cybercrime sources and criminals. It presents an overview of the challenges of digital image forensics, with a specific focus on two of the most common forensic problems. The first part of the book addresses image source investigation, which involves mapping an image back to its camera source to facilitate investigating and tracing the source of a crime. The second part of the book focuses on image-forgery detection, primarily focusing on “copy-move forgery” in digital images, and presenting effective solutions to copy-move forgery detection with an emphasis on additional related challenges such as blur-invariance, similar genuine object identification, etc. The book concludes with future research directions, including counter forensics. With the necessary mathematical information in every chapter, the book serves as a useful reference resource for researchers and professionals alike. In addition, it can also be used as a supplementary text for upper-undergraduate and graduate-level courses on “Digital Image Processing”, “Information Security”, “Machine Learning”, “Computer Vision” and “Multimedia Security and Forensics”.

Keywords

Digital Image Forensics Camera Source Identification Copy-Move Forgery Detection Machine Learning based Classification Similar But Genuine Objects Image forgery detection

Authors and affiliations

  • Aniket Roy
    • 1
  • Rahul Dixit
    • 2
  • Ruchira Naskar
    • 3
  • Rajat Subhra Chakraborty
    • 4
  1. 1.Department of Computer Science and EngineeringIndian Institute of Technology KharagpurKharagpurIndia
  2. 2.Department of Computer Science and EngineeringNational Institute of Technology RourkelaRourkelaIndia
  3. 3.Department of Computer Science and EngineeringNational Institute of Technology RourkelaRourkelaIndia
  4. 4.Department of Computer Science and EngineeringIndian Institute of Technology KharagpurKharagpurIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-10-7644-2
  • Copyright Information Springer Nature Singapore Pte Ltd. 2020
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering
  • Print ISBN 978-981-10-7643-5
  • Online ISBN 978-981-10-7644-2
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site