Cloud Forensics (CLF)

Cloud Forensics: Investigate incidents in cloud environments, use specialized forensic tools, and understand the challenges of modern cloud-based digital forensics.

Contents

• Traditional digital forensic and cloud forensics
• Forensic procedure models and preparation of evidence reports
• Fundamentals of cloud computing (XaaS, containerization, networking, storage, monitoring)
• Collection of forensic evidence in cloud environments

Competencies

Students are able to

• understand cloud-specific challenges in digital forensics.
• use tools to collect digital traces in the cloud environments.
• describe the fundamentals of cloud forensics and can apply them.
• identify common forensic tools in cloud environments and independently extract important findings from them.
• work according to the basic principles of IT forensics when working on a forensic task and can apply them in a forensic investigation.

Literature

• G. Ramakrishnan et al.; Cloud Forensics Demystified: Decoding cloud investigation complexities for digital forensic professionals; Packt 2024

Lecturer

• Prof. Dr. Sebastian Steger
• Prof. Dr. Jessica Steinberger

Recommended Previous Knowledge 

• Basic programming skills
• Knowledge of web technologies, databases, and communication networks
• Knowledge of digital number representations and encodings (e.g., ASCII)

Module Details

Semester	6/7
Lecture Language	German
Frequency	Not regularly
Credit Points (ECTS)	5
Course Coordinator	Prof. Dr. Jessica Steinberger
Duration	1 Semester
Course Achievement	None
Prerequisite for exam	Compulsory Assignment (PU)
Exam	Homework (HA)

Weekly Hours (SWS) 

Lecture	2 SWS
Exercises	2 SWS
Sum	4 SWS

Work Load 

Lecture	60 h
Self Study	60 h
Assignments	30 h
Sum	150 h