ECU-Secure: Characteristic Functions for In-Vehicle Intrusion Detection. - Yannick Chevalier; Roland Rieke; Florian Fenzl; Andrey Chechulin; Igor V. Kotenko (IDC, 2019)

Continuous fields: Enhanced in-vehicle anomaly detection using machine learning models. - Florian Fenzl; Roland Rieke; Yannick Chevalier; Andreas Dominik; Igor V. Kotenko (Simul. Model. Pract. Theory, 2020)

In-vehicle detection of targeted CAN bus attacks. - Florian Fenzl; Roland Rieke; Andreas Dominik (ARES, 2021)

SECPAT: Security Patterns for Resilient Automotive E / E Architectures. - Christian Plappert; Florian Fenzl; Roland Rieke; Ilaria Matteucci; Gianpiero Costantino; Marco De Vincenzi 001 (PDP, 2022)

CAHOOT: a Context-Aware veHicular intrusiOn detectiOn sysTem. - Davide Micale; Gianpiero Costantino; Ilaria Matteucci; Florian Fenzl; Roland Rieke; Giuseppe Patanè 002 (TrustCom, 2022)

RulEth: Genetic Programming-Driven Derivation of Security Rules for Automotive Ethernet. - Felix Clemens Gail; Roland Rieke; Florian Fenzl (ECML/PKDD (7), 2023)

Evaluation of Decision Tree-Based Rule Derivation for Intrusion Detection in Automotive Ethernet. - Felix Clemens Gail; Roland Rieke; Florian Fenzl; Christoph Krauß (TrustCom, 2023)

SecPol: Enabling Security Policy Control in Vehicle Networks using Intrusion Detection and Hardware Trust. - Florian Fenzl; Jonathan Stancke; Christian Plappert; Roland Rieke; Felix Clemens Gail; Theo Dimitrakos; Hussein Joumaa (CSCS, 2024)

Towards Practical Hardware Fingerprinting for Remote Attestation. - Michael Eckel; Florian Fenzl; Lukas Jäger (SEC, 2024)

A Systematic Review on Security Attacks and Countermeasures in Automotive Ethernet. - Marco De Vincenzi 001; Gianpiero Costantino; Ilaria Matteucci; Florian Fenzl; Christian Plappert; Roland Rieke; Daniel Zelle (ACM Comput. Surv., 2024)

A context-aware on-board intrusion detection system for smart vehicles. - Davide Micale; Ilaria Matteucci; Florian Fenzl; Roland Rieke; Giuseppe Patanè 002 (Int. J. Inf. Sec., 2024)