Digital Image Forensics: Theory and Implementation

Author:   Aniket Roy ,  Rahul Dixit ,  Ruchira Naskar ,  Rajat Subhra Chakraborty
Publisher:   Springer Verlag, Singapore
Edition:   1st ed. 2020
Volume:   755
ISBN:  

9789811076435


Pages:   89
Publication Date:   23 May 2019
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Digital Image Forensics: Theory and Implementation


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Overview

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”.

Full Product Details

Author:   Aniket Roy ,  Rahul Dixit ,  Ruchira Naskar ,  Rajat Subhra Chakraborty
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2020
Volume:   755
Weight:   0.454kg
ISBN:  

9789811076435


ISBN 10:   981107643
Pages:   89
Publication Date:   23 May 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Chapter 1: Introduction.- Chapter 2: Source Camera Identification Using Statistical Features.- Chapter 3: Copy Move Forgery Detection in Digital Images – A Survey and Analysis.- Chapter 4: Copy–Move Forgery Detection exploiting Statistical Image Features.- Chapter 5: Blur-invariant Copy-move Forgery Detection utilizing SWT-SVD.- Chapter 6: Copy–Move Forgery Detection with Similar but Genuine Objects using Texture Features.- Chapter 7: Conclusions and Future Work.

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Author Information

Aniket Roy is an M.S. (research) student at the Department of Computer Science and Engineering at the Indian Institute of Technology Kharagpur. He received his B.Tech. degree in Electronics and Communication Engineering from West Bengal University of Technology (now Maulana Abul Kalam Azad University of Technology), India in 2014. His primary research interest lies in multimedia security, reversible watermarking and digital forensics. He received the Best Paper Award at the 15th International Workshop on Digital-forensics and Watermarking. He is an IEEE student member. Rahul Dixit is a Ph.D. scholar at the Department of Computer Science and Engineering at the National Institute of Technology, Rourkela, India. He received his M.Tech. and B.Tech. degrees in Computer Science and Engineering from the Indian School of Mines, Dhanbad and Uttar Pradesh Technical University (now Dr. A.P.J. Abdul Kalam Technical University), respectively. His major research interests include digital image and video forensics, multimedia security and image processing. Ruchira Naskar has been an assistant professor at the National Institute of Technology Department of Computer Science and Engineering, Rourkela, India since 2014. She received her Ph.D. from the Indian Institute of Technology Kharagpur, India in 2014. Her primary research interests are multimedia security and digital rights management, and she has over 30 publications in reputed journals and conferences. Her recent research interest is Digital Forensics. Dr. Naskar is a Member of the IEEE. Rajat Subhra Chakraborty is an associate professor at the Indian Institute of Technology Kharagpur Department of Computer Science and Engineering, India. He has worked at National Semiconductor and Advanced Micro Devices (AMD). His research interests are in the areas of hardware security, very-large-scale integration (VLSI) design, digital watermarking and digital image forensics. He haspublished over 80 papers in respected international journals and conferences, and holds two U.S. patents. He has a Ph.D. in Computer Engineering from Case Western Reserve University (U.S.A.). Dr. Chakraborty is a senior member of the IEEE and the ACM.

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