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Wintersemester 2022/2023

   
Titel:
Typ: Lecture with Exercise
Kürzel / Nr. / Modulnr.: PETS / - / 8807974094
SWS / LP: 3L+1E / 6ECTS SWS / 3L+1E / 6ECTS LP
Dozent: Prof. Dr. Frank Kargl
Betreuung: Migena Ymeraj, Artur Hermann
Termine: The lecture and exercises will be taught on campus. Lecture: Tuedays, 16:00 - 18:00, O28/1002 (starting 2022-10-18) Exercise: Wednesdays, 14:00 - 16:00, in presence O28/H21 (starting on 2022-10-19)
Lernplattform: The link to the Moodle course will be provided soon.
Notenbonus: A grade bonus of 0.3 or 0.4 is given if the lab is passed successfully.
Prüfungstermine: Oral exam by appointment

Beschreibung und allgemeine Angaben

Einordnung in die Studiengänge: Informatik, M.Sc.: Praktische und Angewandte Informatik Informatik, M.Sc.: Vertiefungsfach IT-Sicherheit Informatik, M.Sc.: Vertiefungsfach Verteilte Systeme Informatik, Lehramt: Wahlfach Medieninformatik, M.Sc.: Kernfach Praktische und Angewandte Informatik Medieninformatik, M.Sc.: Vertiefungsfach IT-Sicherheit Medieninformatik, M.Sc.: Vertiefungsfach Verteilte Systeme Software-Engineering, M.Sc.: Kernfach Praktische und Angewandte Informatik Software-Engineering, M.Sc.: Vertiefungsfach IT-Sicherheit Informationssystemtechnik, M.Sc.: Wahlplicht Informatik Informationssystemtechnik, M.Sc.: Wahlpflicht
Lehr- und Lernformen: Lecture Privacy Engineering and Privacy Enhancing Technologies, 3L (Prof. Dr. Frank Kargl, Dr. Christoph Bösch) Exercise Privacy Engineering and Privacy Enhancing Technologies, 1E (Migena Ymeraj, Ala'a Al-Momani)
Verantwortlich: Prof. Dr. Frank Kargl
Dozent: Prof. Dr. Frank Kargl
Unterrichtssprache: English
Turnus / Dauer: Every winter semester / one semester
Voraussetzungen (inhaltlich): Security of IT-Systems
Voraussetzungen (formal): None
Grundlage für (inhaltlich):
Lernergebnisse: Participants will become familiar with modern privacy engineering. Starting from conducting Privacy Impact Assessments (PIAs) and a privacy risk analysis to designing privacy-friendly architectures all the way to application of privacy strategies and privacy enhancing technologies, the course covers the full lifecycle of privacy-friendly system design. Beyond mere theoretical knowledge, participants will practice their freshly acquired knowledge in many scenarios-based exercises.
Inhalt: The course briefly summarizes foundations of privacy and data protection as discussed in more depth in module 71126 ("Grundlagen des Datenschutzes und der IT Sicherheit''). This includes privacy strategies, privacy design patterns and many more. The second part of the lecture then focuses on technical privacy protection discussing different privacy strategies like minimization or hiding, privacy enhancing technologies like attribute-based credentials or group/ring signatures, and also privacy aspects of user interfaces. The technical part also covers cryptographic techniques like commitment schemes, zero knowledge proofs, oblivious transfer, private information retrieval, and secure multiparty computation, which will be implemented in the exercises.
Literatur: Selected literature and online resources
Bewertungsmethode: Oral (in case of many participants written) exam at the end of the semester; no further course assessment; grade bonus if lab passed successfully
Arbeitsaufwand: Active time: 60 h Preparation and evaluation: 120 h Sum: 180 h
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