Course detail

Digital Forensics (in English)

FIT-DFAaAcad. year: 2019/2020

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.

Learning outcomes of the course unit

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

Prerequisites

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

Co-requisites

Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

Nelson, B, Phillips, A, Enfinger, F, Stuart, C: Guide to Computer Forensics and Investigations, 2nd Ed, Thomson Course Technology, 2006, ISBN: 0-619-21706-5
Vacca, J: Computer Forensics, Computer Crime Scene Investigation, 2nd Ed, Charles River Media, 2005.
Buchanan, W, J: Introduction to Security and Network Forensics, Taylor and Francis, Auerbach Publications, 2011.
Davidoff, S, Ham, J: Network Forensics: Tracking Hackers through Cyberspace, Prentice Hall, 2012.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

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

Language of instruction

English

Work placements

Not applicable.

Aims

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.

Specification of controlled education, way of implementation and compensation for absences

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

Classification of course in study plans

  • Programme IT-MGR-2 Master's

    branch MBI , any year of study, summer semester, 5 credits, optional
    branch MPV , any year of study, summer semester, 5 credits, optional
    branch MGM , any year of study, summer semester, 5 credits, optional

  • Programme IT-MGR-2 Master's

    branch MGMe , any year of study, summer semester, 5 credits, compulsory-optional

  • Programme IT-MGR-2 Master's

    branch MSK , any year of study, summer semester, 5 credits, optional
    branch MIS , any year of study, summer semester, 5 credits, optional
    branch MBS , any year of study, summer semester, 5 credits, optional
    branch MIN , any year of study, summer semester, 5 credits, optional
    branch MMI , any year of study, summer semester, 5 credits, optional
    branch MMM , any year of study, summer semester, 5 credits, optional

  • Programme MITAI Master's

    specialization NADE , any year of study, summer semester, 5 credits, optional
    specialization NBIO , any year of study, summer semester, 5 credits, optional
    specialization NGRI , any year of study, summer semester, 5 credits, optional
    specialization NNET , any year of study, summer semester, 5 credits, optional
    specialization NVIZ , any year of study, summer semester, 5 credits, optional
    specialization NCPS , any year of study, summer semester, 5 credits, optional
    specialization NSEC , any year of study, summer semester, 5 credits, optional
    specialization NEMB , any year of study, summer semester, 5 credits, optional
    specialization NHPC , any year of study, summer semester, 5 credits, optional
    specialization NISD , any year of study, summer semester, 5 credits, optional
    specialization NIDE , any year of study, summer semester, 5 credits, optional
    specialization NISY , any year of study, summer semester, 5 credits, optional
    specialization NMAL , any year of study, summer semester, 5 credits, optional
    specialization NMAT , any year of study, summer semester, 5 credits, optional
    specialization NSEN , any year of study, summer semester, 5 credits, optional
    specialization NVER , any year of study, summer semester, 5 credits, optional
    specialization NSPE , any year of study, summer semester, 5 credits, optional

  • Programme IT-MGR-1H Master's

    branch MGH , any year of study, summer semester, 5 credits, recommended

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

Syllabus


  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

Laboratory exercise

12 hours, compulsory

Teacher / Lecturer

Syllabus

  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

Project

14 hours, compulsory

Teacher / Lecturer

Syllabus

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

eLearning

eLearning: opened course