- 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 will not be concluded with a final exam. The grading will be based on multiple graded excercises (theory and programming tasks) in the context of an accompanying examination (“vorlesungsbegleitende Prüfung”). Please pay attention to the special registration deadline for this examination.
This lecture covers important topics which are part of the current research in the collaborative research center and CROSSINGGRK-2050.
Dr. Tim Grube
Dr.-Ing. Andrea Tundis
Carlos Garcia Cordero
|Lecture||Tue, 13:30 – 15:10||S1|03 / 23||16. Apr. 2019|
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