PristupačnostDigital Content Forensics
Data is displayed for academic year: 2023./2024.
Laboratory exercises
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.
Study Programmes
University graduate
[FER3-HR] Audio Technologies and Electroacoustics - profile
Elective Courses
(2. semester)
[FER3-HR] Communication and Space Technologies - profile
Elective Courses
(2. semester)
[FER3-HR] Computational Modelling in Engineering - profile
Elective Courses
(2. semester)
[FER3-HR] Computer Engineering - profile
Elective Courses
(2. semester)
[FER3-HR] Computer Science - profile
Elective Courses
(2. semester)
[FER3-HR] Control Systems and Robotics - profile
Elective Courses
(2. semester)
[FER3-HR] Data Science - profile
Elective Courses
(2. semester)
[FER3-HR] Electrical Power Engineering - profile
Elective Courses
(2. semester)
[FER3-HR] Electric Machines, Drives and Automation - profile
Elective Courses
(2. semester)
[FER3-HR] Electronic and Computer Engineering - profile
Elective Courses
(2. semester)
[FER3-HR] Electronics - profile
Elective Courses
(2. semester)
[FER3-HR] Information and Communication Engineering - profile
Elective Courses
(2. semester)
[FER3-HR] Network Science - profile
Elective Courses
(2. semester)
[FER3-HR] Software Engineering and Information Systems - profile
Elective Courses
(2. semester)
Learning Outcomes
- Analyze authenticity and integrity of audio
- Analyze authenticity and integrity of video
- Analyze authenticity and integrity of photography
- Analyze authenticity and integrity of text
Forms of Teaching
Lectures
Lectures are held weekly. Lecture captures are made available to student.
Seminars and workshopsThe course includes making a seminar, presenting it and making a video presentation of the conducted work.
LaboratoryStudents 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 % | ||||
Comment:
Seminar/Project is a course completion requirement. It can be prepared and submitted when the completing the course through continuous assessments and/or exams period.
Week by Week Schedule
- Introduction to digital content forensics
- Forensic analysis of textual documents - Introduction and authorship attribution
- Forensic analysis of textual documents - Machine-generated text and watermarking
- Entropy analysis of digital content
- Forensic analysis of audio - Introduction
- Forensic analysis of audio - Audio integrity and authenticity
- Forensic analysis of images - Introduction
- Midterm exam
- Forensic analysis of images - Encoding and compression
- Forensic analysis of images - Image tampering detection
- Forensic analysis of images - Object detection
- Forensic analysis of video - Introduction
- Forensic analysis of video - Increasing video quality and antiforensics
- Project presentations
- Final exam
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 252383
Summer semester
5 ECTS
L1 English Level
L2 e-Learning
30 Lectures
0 Seminar
0 Exercises
15 Laboratory exercises
0 Project laboratory
0 Physical education excercises
Grading System
90 Excellent
80 Very Good
70 Good
60 Sufficient