| Detecting IoT devices and how they put large heterogeneous networks at security risk S Agarwal, P Oser, S Lueders Sensors 19 (19), 4107, 2019 | 31 | 2019 |
| Identifying devices of the internet of things using machine learning on clock characteristics P Oser, F Kargl, S Lüders Security, Privacy, and Anonymity in Computation, Communication, and Storage …, 2018 | 24 | 2018 |
| Risk prediction of IoT devices based on vulnerability analysis P Oser, RW van der Heijden, S Lüders, F Kargl ACM Transactions on Privacy and Security 25 (2), 1-36, 2022 | 21 | 2022 |
| Safer: Development and evaluation of an iot device risk assessment framework in a multinational organization P Oser, S Feger, PW Woźniak, J Karolus, D Spagnuelo, A Gupta, ... Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020 | 16 | 2020 |
| Evaluating the Future Device Security Risk Indicator for Hundreds of IoT Devices P Oser, F Engelmann, S Lüders, F Kargl International Workshop on Security and Trust Management, 52-70, 2022 | 3 | 2022 |
| Security Risks of IoT Devices: From Device Characteristics to Future Risk Score Predictions P Oser Universität Ulm, 2023 | 2 | 2023 |
| Information Security Assessment of CERN Access and Safety Systems T Hakulinen, P Ninin, XB Costa Lopez, P Oser | 2 | 2015 |
| Internet of Things (IoT) Security S Agarwal, S Lueders, H Short, P Oser CERN openlab, 2017 | 1 | 2017 |
| Computer security: Smile, you’re on camera… S Lueders | | 2018 |
| Virtualization architecture of CERN access and safety systems X Breogan Costa Lopez, T Hakulinen, P Ninin, H Nissen, R Nunes, ... Proceedings of the 8th ACM International Systems and Storage Conference, 1-1, 2015 | | 2015 |
Frank KarglProfessor of Computer Science, Ulm UniversityVerified email at uni-ulm.de