This course pack includes:
Digital Video Forensics: Uncovering the Truth in a World of Distorted Realities
Video Analysis – Content Authentication – Tamper Detection
In this course, the participants will gain a comprehensive understanding of the digital video forensics domain, beginning with the fundamental concepts of digital videos and the technical issues related to digital video processing, to the basic knowledge of wide range of issues associated with the evidential use and forensic analysis of video evidence, followed by the practical knowledge of various video forensic investigation procedures (including both rudimentary and specialized video content authentication and forgery detection scheme), all of which will help develop crucial analytical, problem-solving, and research skills. The participants will also gain a deep understanding of the current research gaps, open issue and future research avenues in the video forensics domain, which will act as a platform for further career and personal development. Altogether, this course will enable the participants to establish a strong foundation for the eventual development of a meaningful career in the tremendously exciting domain of video forensics.
18 hours (18 CPE points)
Digital Visual Media Forensics:
Lessons in Anti–Forensics and Counter Anti–Forensics
This course is dedicated to the comprehensive examination of all aspects of the domains of image and video anti–forensics and counter anti–forensics. The participants will gain a deep understanding of these highly consequential research domains, beginning with an introduction to the field of digital image and video forensics, the known kinds of image and video forgeries, the existing literature pertaining to the developments in the domain of forgery detection, and the various issues and challenges that complicate the task of forensic analysis of digital images and videos and impose restrictions on the extent of success of contemporary forensic solutions in heterogeneous real–world situations. The participants will learn about the process of forensic analysis of video evidence, including integrity verification, source authentication, and content authentication. The participants will also learn about the origin and history of deepfakes and take some time to examine some famous fake videos posted on YouTube. This will be an enjoyable exercise for the participants and will also enable them be more critical of the content we have become so accustomed to consume and inherently believe in our daily lives. This discussion will be followed by a detailed analysis of existing image and video anti–forensic and counter anti–forensic strategies, and will be concluded with an examination of the current research gaps, open issue and future research avenues in this domain. Altogether, this course will enable the participants to establish a strong foundation for personal growth and the eventual development of a meaningful career in the tremendously exciting domain of digital visual media forensics.
Course launch date: November 9th 2018
Course duration: 18 hours (18 CPE points awarded on completion)
Fusion-based Digital Visual Media Forensics
The primary aim of this course is to familiarize the participants with all aspects of the domain of fusion–based forensics. We will begin with a detailed discussion of the basic concepts of uncertainty and ambiguity, followed by an analysis of the various factors that cause uncertainties and ambiguities in the domain of digital visual media forensics. This discussion will be followed by an overview of the fundamental aspects of the various theories and strategies that provide means for combining uncertain, conflicting, or incomplete pieces of evidence, and examine how these theories and strategies are employed in the domain of tamper detection and evidence authentication.
Course launch date: November 30th 2018
Course duration: 5 hours (5 CPE points awarded on completion)
Raahat Devender Singh is a PhD research scholar and a guest lecturer working in the Department of Computer Science and Engineering in University Institute of Engineering and Technology, and the Forensics Department in Panjab University, Chandigarh, India. She has been actively working in the Digital Video Forensics domain for over three years, and her fields of specialization include digital signal processing, digital image and video content authentication and forgery detection, and forensic analysis and interpretation of digital visual media evidence. She has participated in a number of national and international conferences, and has written several articles and research papers for magazines and scientific journals of various publishing houses including Springer, World Scientific, and Elsevier.