Continuous fields: Enhanced in-vehicle anomaly detection using machine learning models F Fenzl, R Rieke, Y Chevalier, A Dominik, I Kotenko Simulation Modelling Practice and Theory 105, 102143, 2020 | 16 | 2020 |
Ecu-secure: Characteristic functions for in-vehicle intrusion detection Y Chevalier, R Rieke, F Fenzl, A Chechulin, I Kotenko Intelligent Distributed Computing XIII, 495-504, 2020 | 13 | 2020 |
SECPAT: security patterns for resilient automotive E/E architectures C Plappert, F Fenzl, R Rieke, I Matteucci, G Costantino, M De Vincenzi 2022 30th Euromicro international conference on parallel, distributed and …, 2022 | 8 | 2022 |
Cyberattack detection in vehicles using characteristic functions, artificial neural networks, and visual analysis Y Chevalier, F Fenzl, M Kolomeets, R Rieke, A Chechulin, C Kraus Информатика и автоматизация 20 (4), 845-868, 2021 | 8 | 2021 |
In-vehicle detection of targeted CAN bus attacks F Fenzl, R Rieke, A Dominik Proceedings of the 16th International Conference on Availability …, 2021 | 7 | 2021 |
Collaborative Security Patterns for Automotive Electrical/Electronic Architectures F Fenzl, C Plappert, R Rieke, D Zelle, G Costantino, M De Vincenzi, ... Collaborative Approaches for Cyber Security in Cyber-Physical Systems, 63-97, 2023 | 3 | 2023 |
CAHOOT: a Context-Aware veHicular intrusiOn detectiOn sysTem D Micale, G Costantino, I Matteucci, F Fenzl, R Rieke, G Patanè 2022 IEEE International Conference on Trust, Security and Privacy in …, 2022 | 2 | 2022 |
A context-aware on-board intrusion detection system for smart vehicles D Micale, I Matteucci, F Fenzl, R Rieke, G Patanè International Journal of Information Security, 1-21, 2024 | | 2024 |
A Systematic Review on Security Attacks and Countermeasures in Automotive Ethernet M De Vincenzi, G Costantino, I Matteucci, F Fenzl, C Plappert, R Rieke, ... ACM Computing Surveys 56 (6), 1-38, 2024 | | 2024 |
RulEth: Genetic Programming-Driven Derivation of Security Rules for Automotive Ethernet FC Gail, R Rieke, F Fenzl Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | | 2023 |
A Context-Aware on-board Intrusion Detection System D Micale, I Matteucci, F Fenzl, R Rieke, G Patanè | | 2023 |