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 duration: 5 hours (5 CPE points awarded on completion)
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What will you learn?
The course aims to provide the participants with a comprehensive understanding of the domain of fusion–based digital visual media forensics. The participants will gain:
- Thorough understanding of the basic concepts of uncertainty and ambiguity, and the various theories and strategies that have been developed over the years to facilitate effective decision–making in the presence of such uncertainties and ambiguities.
- Deeper understanding of the concepts of uncertainty and ambiguity in the context of digital visual media forensics, which will be brought on by thorough examination of the various factors that cause contemporary tamper detection techniques to proffer incomplete, ambiguous, or conflicting evidence regarding the presence (or absence) of a particular forensic artifact in the given content.
- Comprehensive knowledge of the methods of operation of existing fusion–based forensic techniques.
- Cognizance of the concepts of uncertainty and ambiguity in digital forensics and the various aspects of the field of fusion–based visual media forensics, all of which will help the participants develop an eye for detail, and will bring about a deeper appreciation for this field as well as an awareness of all the interesting career opportunities it provides.
What skills will you gain?
Upon completion of the course, the participants will have acquired:
- Complete understanding of the concepts of uncertainty and ambiguity in the context of digital visual media forensics and the various decision–making strategies employed in the presence of such uncertainties and ambiguities.
- Deeper comprehension of the various factors that limit the effectiveness and potency of contemporary tamper detection techniques in heterogeneous, real–world forensic environments and cause them to proffer conflicting, inaccurate, or incomplete evidence regarding content authenticity.
- Firm grounding in the fusion–based digital visual media forensics domain.
- A strong foundation for the eventual development of a meaningful career in the image and video forensics domain.
The knowledge gained from this course and the skills acquired therefrom will be apposite to researchers and practitioners, as well as forensics analysts and hobbyists.
What will you need?
- Familiarity with the previous course (entitled “Digital Visual Media Forensics: Lessons in Anti–Forensic and Counter Anti–Forensics”), or equivalent knowledge or skill.
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.
The course consists of a single module that provides an overview of the concept of uncertainty and ambiguity in the digital visual media forensics domain and introduces various measures devised to handle such uncertainties and ambiguities. The module also presents an overview of the theory of evidence (aka the Dempster–Shafer Theory of Evidence) and the Fuzzy Theory, and also contains a detailed discussion of existing fusion–based image and video forensic techniques.
- Introduction to the concepts of uncertainty and ambiguity in the context of digital visual media forensics and the various means of overcoming them.
- Introduction to fusion–based forensics.
- Introduction to the Dempster–Shafer Theory of Evidence and the Fuzzy Theory.
- Examination of various fusion–based image forensic techniques.
- Examination of various fusion–based video forensic techniques.
- Knowledge test (consisting of true or false type questions, fill in the blanks, multiple choice questions and crossword puzzle)
- The course is self-paced – you can visit the training whenever you want and your content will be there.
- Once you’re in, you keep access forever, even when you finish the course.
- There are no deadlines, except for the ones you set for yourself.
- We designed the course so that a diligent student will need about 5 hours of work to complete the training.
- The course contains video and text materials, accompanied by practical labs and exercises.
Questions? Contact our course coordinator Marta at firstname.lastname@example.org