Course details

Digital Forensics (in English)

DFAa Acad. year 2020/2021 Summer semester 5 credits

Current academic year

The course focuses on the role of computer forensics and the methods used in the investigation of computer crimes. The course explains the need for proper investigation and illustrates the process of locating, handling, and processing computer evidence. A detailed explanation of how to efficiently manage a forensics investigation and how to preserve and present evidence is covered.

Guarantor

Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS)

Course coordinator

Matoušek Petr, doc. Ing., Ph.D., M.A. (DIFS)

Language of instruction

English

Completion

Examination (written+oral)

Time span

  • 26 hrs lectures
  • 13 hrs laboratories
  • 13 hrs projects

Assessment points

  • 55 pts final exam (written part)
  • 30 pts numeric exercises
  • 15 pts projects

Department

Department of Information Systems (UIFS)

Lecturer

Hranický Radek, Ing., Ph.D. (DIFS)
Matoušek Petr, doc. Ing., Ph.D., M.A. (DIFS)
Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS)

Instructor

Hranický Radek, Ing., Ph.D. (DIFS)
Matoušek Petr, doc. Ing., Ph.D., M.A. (DIFS)
Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS)

Subject specific learning outcomes and competences

Student acquaints basic concepts and principles of computer forensics and skills in a computer forensic examination.

Learning objectives

The aim is to understand principles of computer forensics and the basic concepts used in a computer forensics examination; introduces techniques required for conducting a forensic analysis of systems and data.

Why is the course taught


The course prepares the student for a possible role of cyber attack investigator or forensic analyst within security teams.

Prerequisite knowledge and skills

Basic knowledge of operating systems, storage media, networking and ability to write simple scripts.

Study literature

  • Nipun Jaswal: Hands-On Network Forensics: Investigate network attacks and find evidence using common network forensic tools,  Packt Publishing, 2019.

Syllabus of lectures

  1. Introduction to Forensics Investigation
  2. Data Acquisition Tools and Methods
  3. Computer Forensics Tools
  4. Data Recovery, Filesystem Examination
  5. Data Analysis, Carving, Recovery Files
  6. OS Forensics: Windows, Mac OS, Linux
  7. Introduction to Mobile Forensics
  8. Mobile Forensics Data Acquisition and Analysis
  9. Network Traffic Capturing and Processing
  10. Network Data Analysis
  11. Network Device Forensics
  12. IoT Forensics
  13. Cryptocurrencies

Syllabus of laboratory exercises

  1. Disk Imaging and Data Acquisition
  2. Digital Forensics using Autopsy
  3. Mobile data acquisition and analysis using MobilEdit
  4. Network Forensics using Wireshark
  5. Network Forensics: Flow and Log Analysis
  6. Digital Forensics of Cryptocurrencies

Syllabus - others, projects and individual work of students

Performing the investigation of the selected cases. Solving the cases and writing the report.

Progress assessment

  • Earning at least 20 points during the term is required.
  • Minimum of 20 points of the final exam is necessary to pass the course.

Controlled instruction

Controlled activities include a project, computer exercises and the final exam. Missed labs will not be replaced.

Exam prerequisites

  • Earning at least 20 points during the term is required.
  • Minimum of 20 points of the final exam is necessary to pass the course.

Course inclusion in study plans

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