Digital Documents Forensics

Course Description

The purpose of this course is to give student basic grasp of the techniques used in digital document forensics. Topics that will be covered include techniques related to text author detection, detection of automated translation, face detection in video files, detection of deep-fake videos, methods to determine authenticity and possible manipulation in audio files, detection of image manipulation, and object detection in images.

Learning Outcomes

  1. Analyze authenticity and integrity of audio
  2. Analyze authenticity and integrity of video
  3. Analyze authenticity and integrity of photography
  4. Analyze authenticity and integrity of text

Forms of Teaching

Lectures

Lectures are held weekly. Lecture captures are made available to student.

Seminars and workshops

The course includes making a seminar, presenting it and making a video presentation of the conducted work.

Laboratory

Students acquire practical experience with course topics in laboratory exercises. Laboratory exercises can be done at any location.

Grading Method

Continuous Assessment Exam
Type Threshold Percent of Grade Threshold Percent of Grade
Laboratory Exercises 50 % 35 % 0 % 0 %
Class participation 50 % 10 % 0 % 0 %
Seminar/Project 50 % 20 % 50 % 20 %
Mid Term Exam: Written 0 % 1 % 0 %
Final Exam: Written 50 % 34 %
Exam: Written 50 % 80 %

Week by Week Schedule

  1. Forensic analysis of textual documents
  2. Forensic analysis of textual documents
  3. Entropy analysis of digital content
  4. Entropy analysis of digital content
  5. Use of transformations in extraction of audio signals features
  6. Use of signal processing in extraction of audio signals features
  7. Analysis and extraction of audio signals features
  8. Midterm exam
  9. Image encryption
  10. Image encryption
  11. Passive and active methods for digital image forensics
  12. Passive and active methods for digital image forensics
  13. Project
  14. Project
  15. Final exam

Study Programmes

University graduate
Audio Technologies and Electroacoustics (profile)
Free Elective Courses (2. semester)
Communication and Space Technologies (profile)
Free Elective Courses (2. semester)
Computational Modelling in Engineering (profile)
Free Elective Courses (2. semester)
Computer Engineering (profile)
Free Elective Courses (2. semester)
Computer Science (profile)
Free Elective Courses (2. semester)
Control Systems and Robotics (profile)
Free Elective Courses (2. semester)
Data Science (profile)
Free Elective Courses (2. semester)
Electrical Power Engineering (profile)
Free Elective Courses (2. semester)
Electric Machines, Drives and Automation (profile)
Free Elective Courses (2. semester)
Electronic and Computer Engineering (profile)
Free Elective Courses (2. semester)
Electronics (profile)
Free Elective Courses (2. semester)
Information and Communication Engineering (profile)
Free Elective Courses (2. semester)
Network Science (profile)
Free Elective Courses (2. semester)
Software Engineering and Information Systems (profile)
Free Elective Courses (2. semester)

Literature

Max M. Houck (2018.), Digital and Document Examination, Elsevier
Anthony T. S. Ho, Shujun Li (2015.), Handbook of Digital Forensics of Multimedia Data and Devices, John Wiley & Sons

For students

General

ID 222517
  Summer semester
5 ECTS
L2 English Level
L2 e-Learning
30 Lectures
15 Laboratory exercises

Grading System

90 Excellent
80 Very Good
70 Good
60 Acceptable