188.922 Digital Forensics
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2019W, VU, 2.0h, 3.0EC

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise

Learning outcomes

After successful completion of the course, students are able to conduct digital forensic investigations and the necessary analysis steps, in particular with the special requirements regarding reproducibility. The data will not be modified during that analysis at all costs. This is true for both smartphones as well as file systems, computer systems, servers and network data. Students are empowered to prove that data has not been modified in any way during their analysis.

During the practical assigments participants will conduct anaylsis of artefacts in an autonomous and provable way, including documentation. Findings can be reproduced by external analysts, and are free of speculations and arguments which are not independently observable. The artefacts created like reports and analysis steps are theoretically usable in a court.

Subject of course

Forensics methods for: File systems, networks, operation systems, application software

Time line anylsises, standards and norms (RFC, NIST, ISO, legal basics, definitions).

 

Teaching methods

The foundations are taught in blocked lectures. These foundations are discussed in the light of real-world examples during the lectures. We additionally foster discussion by using TUWEL as an online learning platform for our course. Theoretical foundations are finally applied to practical assignments (challenges).

Mode of examination

Immanent

Additional information

ECTS Breakdown (3 ECTS = 75 hours):

  • Lectures (18h)
  • Self-studies & Learning for Exams (18h)
  • up to 4 Assignments (36h)
  • Exams (3h)

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Tue16:00 - 18:0001.10.2019EI 3 Sahulka HS Introduction (together with 188.312, 188.982, 183.222)
Tue17:00 - 19:0008.10.2019 - 26.11.2019EI 9 Hlawka HS Vorlesung
Thu17:00 - 19:0017.10.2019EI 3 Sahulka HS Lecture
Mon18:00 - 20:0021.10.2019EI 9 Hlawka HS Vorlesung
Mon18:00 - 20:0004.11.2019EI 9 Hlawka HS Lecture
Thu17:00 - 19:0005.12.2019EI 9 Hlawka HS Vorlesung
Mon15:00 - 17:0009.12.2019EI 9 Hlawka HS Lecture
Digital Forensics - Single appointments
DayDateTimeLocationDescription
Tue01.10.201916:00 - 18:00EI 3 Sahulka HS Introduction (together with 188.312, 188.982, 183.222)
Tue08.10.201917:00 - 19:00EI 9 Hlawka HS Vorlesung
Tue15.10.201917:00 - 19:00EI 9 Hlawka HS Vorlesung
Thu17.10.201917:00 - 19:00EI 3 Sahulka HS Lecture
Mon21.10.201918:00 - 20:00EI 9 Hlawka HS Vorlesung
Tue22.10.201917:00 - 19:00EI 9 Hlawka HS Vorlesung
Tue29.10.201917:00 - 19:00EI 9 Hlawka HS Vorlesung
Mon04.11.201918:00 - 20:00EI 9 Hlawka HS Lecture
Tue19.11.201917:00 - 19:00EI 9 Hlawka HS Vorlesung
Tue26.11.201917:00 - 19:00EI 9 Hlawka HS Vorlesung
Thu05.12.201917:00 - 19:00EI 9 Hlawka HS Vorlesung
Mon09.12.201915:00 - 17:00EI 9 Hlawka HS Lecture

Examination modalities

Practical assignments and two written exams (mid term and final)

Exams

DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Tue17:00 - 19:0012.11.2019Informatikhörsaal written25.09.2019 09:00 - 08.11.2019 23:59TISSMidterm Exam
Mon15:00 - 17:0016.12.2019Informatikhörsaal written09.10.2019 09:00 - 12.12.2019 23:00TISSFinal Exam
Thu17:00 - 19:0023.01.2020Informatikhörsaal written02.10.2019 09:00 - 20.01.2020 23:59TISSRetake Exam (Final)
Thu17:00 - 19:0023.01.2020Informatikhörsaal written02.10.2019 09:00 - 20.01.2020 23:59TISSRetake Exam (Midterm)

Course registration

Begin End Deregistration end
05.09.2019 00:00 18.10.2019 23:00 18.10.2019 23:59

Curricula

Literature

No lecture notes are available.

Previous knowledge

Equivalent knowledge to the class "Introduction to Security" is mandatory. The class "Internet Security" is recommended.

Miscellaneous

Language

English