PNS: Protection in Networked Systems ‒ Trust, Resilience, and Privacy

Course content

  • Protection in Networked Systems: background, motivation, challenges
  • Privacy: privacy definitions, models, data anonymity, communication anonymity
  • Trust (Computational Trust): models and mechanisms
  • Security & Economics
  • Resilience: models, network intrusion detection systems, collaborative intrusion detection systems, honeypots
  • Resilient networks: measurement of reslience and dependability, methods to increase resilience in networked systems

This lecture covers important topics which are part of the current research in the collaborative research center CROSSING and GRK-2050.

Teaching Staff

  Name Contact
Priv.-Doz. Dr. habil. Andrea Tundis
Mornewegstraße 26-32 | 64293 Darmstadt - 2nd floor
Dr. Lamya Abdullah
S2|02 A112
Leon Böck
S2|02 A121

Schedule

Type Time Room Start
Lecture 13:30 – 15:10 S103/23 (changes will be announced on the Moodle) Di, 12. Apr. 2022
Exam TBA TBA

TuCaN description | Moodle Link

The integrated lecture Protection in Networked Systems ‒ Trust, Resilience, and Privacy covers the topics of computational trust, resilient and anonymous networks, and collaborative defense mechanisms. By attending this course, the students will be able to understand the problems and solutions in the context of networked systems. The course content will consider the concept of End-to-End systems emphasizing on users, devices, networks, and applications or services.

Knowledge of IT Security and Mathematics according to 1-4 semester of B.Sc. Computer Science

  • Trust and Reputation for Service-Oriented Environments: Technologies For Building Business Intelligence And Consumer Confidence, Elizabeth Chang, Tharam Dillon, and Farookh K. Hussain, 374 pages, 2006. ISBN: 978-0-470-01547-6
  • Detailing Reviews and Ratings for Trust-Enhanced Composition, Florian Volk, 272 pages, 2015, ISBN: 9783736991668 (print), 9783736981669 (e-book)
  • On anonymity in an electronic society: A survey of anonymous communication systems, Matthew Edman and Bülent Yener, ACM Computing Surveys, Vol. 42, Issue 1, 2009.
  • Taxonomy and Survey of Collaborative Intrusion Detection, Emmanouil Vasilomanolakis, Shankar Karuppayah, Max Mühlhäuser, Mathias Fischer, ACM Computing Surveys, Vol. 47 Issue 4, 2015.
  • Selected book chapters and scientific publications