Modules

Prerequisites

Contents

Concrete topics and application scenarios are adapted to the focus of the discussed methods. Typical topics are network and system security, anonymity, privacy enhancing technologies, digital forensics, computer networks, distributed systems, mobile security, web security, applied cryptography, etc. Master students will get assigned a topic that is based on recent publications in one of the top conferences in the field (e.g., IEEE S&P, ACM CCS, NDSS, USENIX Security, PETS) and have to prepare a paper on the state of the art on their topic. In this time, we will have presentations on ongoing research of our group members as well as streaming of presentations from top conferences in the field with the follow-up internal discussion. Depending on the format, it is also possible that in the second phase, students will be asked to write a conference-style review for a few papers of the others. These reviews will be presented and publicly discussed. Next, based on the reviews, students will have the possibility to improve their paper and have to prepare a presentation on their topic. Before publicly presenting it to the class, they have to make a test presentation by their supervisor. Finally, there will be a presentation and discussion within the class.

Learning outcomes

Students have a deeper understanding of distributed vs. centralized communication, security and privacy paradigms and their application in collaborative environments. They are capable to establish links between the basic concepts and applied scenarios, with reference to ongoing research activities within the research group IT Security. Students are prepared for the Master's thesis.

Assessment

• Successful oral presentation, 30-45 minutes depending on topic (50% of total marks) • Written report, 10-15 pages depending on topic (30% of total marks) • Active participation in courses (20% of total marks) 75% of the total marks are needed to pass the module.

Remarks

• Study programme Cyber Security M.Sc.: Compulsory elective module in complex „Cyber Security Methods” • Study programme Informatik M.Sc.: Compulsory elective module in complex „Seminare oder Praktika” (level 400) • Study programme Künstliche Intelligenz Technologie M.Sc.: Compulsory elective module in complex „Seminare oder Praktika” • Study programme Mathematical Data Science M.Sc.: Compulsory elective module in complex „Data Science Applications”