Summer Semester 2024

Content

• Trusted Computing
  
  • - Authenticated Boot
  • - Binding and Sealing
  • - Integrity Measurement and Attestation
  • - Direct Anonymous Attestation
  • - On-board Credentials
• Mobile Security with focus on smartphones
  
  • - Security Architectures
  • - Selected Access Control and Permission Model Aspects
  • - Context-based Security Policies
  • - Selected Modern Attack Techniques
• Hardware-based Cryptography
  
  • - Hardware-assisted Cryptographic Protocols
  • - Introduction to Physical Unclonable Functions (PUFs)

Please check Moodle for full information:

https://moodle.informatik.tu-darmstadt.de/course/view.php?id=1594

Content

This event addresses state-of-the-art security topics from research and development.

Analyzing and developing security solutions are complex tasks requiring knowledge from different areas of computer science. This lab aims to combine skills from different areas within a project from the security sector.

Tasks from a wide range (from algorithmics, space travel, and machine learning to software analysis, hardware development, and reverse engineering) will be presented.

The final tasks are determined individually and according to the interests/skills of the participants.

Depending on the task's scope and level, this course will be completed as a Lab (InoSys-Lab with 6CP) or a Project-Lab (InoSys-Project with 9CP). The type will be determined individually and task-dependent. At this point, and as far as the nature of the task allows, the students will have the opportunity to participate intellectually in the design of the task.

Please check Moodle for full information:

https://moodle.informatik.tu-darmstadt.de/course/view.php?id=1589

Content

In the seminar, you will summarize and evaluate existing literature for your choosen topic related to System and IoT security and report their findings in the form of a seminar paper.

Possible topics include:

• Hardware-based security mechanisms
• Attestation of devices
• Defence mechanisms against runtime attacks
• Attacks against IoT systems and IoT malware
• Intrusion detection systems
• Anomaly detection based on machine learning (ML)
• Adversarial machine learning
• Security analysis through reverse-engineering
• Blockchain-based defence mechanisms

Please check Moodle for full information:

https://moodle.informatik.tu-darmstadt.de/course/view.php?id=1598