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Florian Fenzl
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2020 – today
- 2024
- [j3]Marco De Vincenzi
, Gianpiero Costantino
, Ilaria Matteucci
, Florian Fenzl
, Christian Plappert
, Roland Rieke
, Daniel Zelle
:
A Systematic Review on Security Attacks and Countermeasures in Automotive Ethernet. ACM Comput. Surv. 56(6): 135:1-135:38 (2024) - [j2]Davide Micale, Ilaria Matteucci, Florian Fenzl, Roland Rieke
, Giuseppe Patanè:
A context-aware on-board intrusion detection system for smart vehicles. Int. J. Inf. Sec. 23(3): 2203-2223 (2024) - 2023
- [c6]Felix Clemens Gail
, Roland Rieke
, Florian Fenzl
:
RulEth: Genetic Programming-Driven Derivation of Security Rules for Automotive Ethernet. ECML/PKDD (7) 2023: 192-209 - [c5]Felix Clemens Gail, Roland Rieke
, Florian Fenzl, Christoph Krauß:
Evaluation of Decision Tree-Based Rule Derivation for Intrusion Detection in Automotive Ethernet. TrustCom 2023: 1392-1399 - 2022
- [c4]Christian Plappert
, Florian Fenzl
, Roland Rieke
, Ilaria Matteucci
, Gianpiero Costantino, Marco De Vincenzi
:
SECPAT: Security Patterns for Resilient Automotive E / E Architectures. PDP 2022: 255-264 - [c3]Davide Micale, Gianpiero Costantino, Ilaria Matteucci
, Florian Fenzl
, Roland Rieke
, Giuseppe Patanè:
CAHOOT: a Context-Aware veHicular intrusiOn detectiOn sysTem. TrustCom 2022: 1211-1218 - 2021
- [c2]Florian Fenzl
, Roland Rieke
, Andreas Dominik:
In-vehicle detection of targeted CAN bus attacks. ARES 2021: 32:1-32:7 - 2020
- [j1]Florian Fenzl
, Roland Rieke
, Yannick Chevalier, Andreas Dominik, Igor V. Kotenko
:
Continuous fields: Enhanced in-vehicle anomaly detection using machine learning models. Simul. Model. Pract. Theory 105: 102143 (2020)
2010 – 2019
- 2019
- [c1]Yannick Chevalier, Roland Rieke
, Florian Fenzl
, Andrey Chechulin
, Igor V. Kotenko
:
ECU-Secure: Characteristic Functions for In-Vehicle Intrusion Detection. IDC 2019: 495-504
Coauthor Index
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last updated on 2024-08-05 21:13 CEST by the dblp team
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