Daniel Grimm, M. Sc.
- Wissenschaftlicher Mitarbeiter
- Gruppe: Prof. Sax
- Raum: 115
CS 30.10 - Tel.: +49 721 608-46135
- daniel grimm ∂does-not-exist.kit edu
Engesserstr. 5
76131 Karlsruhe
M. Sc. Daniel Grimm
Lebenslauf
- Bachelor-Studium der Elektro- und Informationstechnik am KIT
- Abschluss im November 2015
- Bachelorarbeit:
- Karlsruher Institut für Technologie (KIT), Institut für industrielle Informationstechnik (IIIT)
- Thema der Arbeit: "Langzeit-3-D-Kopfposentracking durch Verwenden eines dynamischen Objektmodells"
- Master-Studium der Elektro- und Informationstechnik am KIT
- Abschluss im Oktober 2017
- Masterarbeit:
- Karlsruher Institut für Technologie (KIT), Institut für Technik der Informationsverarbeitung (ITIV)
- Thema der Arbeit: "Statische und dynamische Anomalieerkennung in Ethernet-basierter Kommunikation"
Lehre
Betreuung der Übungen zu 2311651 Informationstechnik I
Forschungsinteressen
- Cyber-Security für Fahrzeuge
- Maschinelles Lernen
- Automotive Software-Architektur
Betreute abgeschlossene studentische Arbeiten
- MA: "Reinforcement Learning für autonomes Fahren in der Simulationsumgebung AirSim; Reinforcement Learning for Autonomous Driving AirSim"
- MA: "Anwendung und Validierung von maschinellem Lernen auf der Basis von Reinforcement Learning für autonome Fahrzeuge in einer Simulationsumgebung"
- BA: "Modellierung und prototypische Implementierung eines generischen Security Kontext Modells für Fahrzeuge"
- BA: "Optimierung eines Intrusion Detection Systems auf Basis neuronaler Netze"
- BA: "Anomalieerkennung in Zeitserien durch Convolutional Autoencoder"
- BA: "Visuelle Anomalieerkennung mittels Autoencodern"
- BA: "Entwicklung einer Machine Learning basierten Strukturüberwachung für einen Forschungshelikopter"
- BA: "Auswahl und Evaluierung geeigneter Konzepte zur Speicherung und Analyse von SecurityInformationen"
- BA: "Entwicklung einer Plattform zur explorativen Analyse großer Datenmengen aus dem Automobilbereich"
- MA: "Konzeptionierung und Implementierung einer Datenverarbeitungsarchitektur auf Basis aktueller Connected Car Services"
- BA: "Konzeption eines Verfahrens zur flottenübergreifenden SecurityAnalyse von Fahrzeugen"
- BA : "Implementierung und Evaluation verschiedener Neuronaler Netze zur kombinierten Anomalieerkennung in mehreren Signalen der CANbasierten Kommunikation"
- BA: "Konzept zur Erkennung von Anomalien in Ethernetbasierter Kommunikation im Fahrzeug mittels Maschinellem Lernen"
- BA : "Synthetisieren kontextueller Anomalien in Fahrzeugdaten"
| Titel |
|---|
| Adaptive Monitoring for Safe DevOps |
| Entwicklung von Plug and Play Architekturen für hochvernetzte, automatisierte Fahrzeuge |
Publikationen
2024
Zeitschriftenaufsätze
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A numerical verification method for multi-class feed-forward neural networks
Grimm, D.; Tollner, D.; Kraus, D.; Török, Á.; Sax, E.; Szalay, Z.
2024. Expert Systems with Applications, 247, Art.-Nr.: 123345. doi:10.1016/j.eswa.2024.123345
Proceedingsbeiträge
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Co-simulate no more: The CARLA V2X Sensor
Grimm, D.; Schindewolf, M.; Kraus, D.; Sax, E.
2024. 2024 IEEE Intelligent Vehicles Symposium (IV), Jeju, 2nd-5th July 2024, 2429–2436, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IV55156.2024.10588488 -
Gap Analysis of ISO/SAE 21434 – Improving the Automotive Cybersecurity Engineering Life Cycle
Grimm, D.; Lautenbach, A.; Almgren, M.; Olovsson, T.; Sax, E.
2024. 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), Bilbao, 24th-28th September 2023, 1904 – 1911, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ITSC57777.2023.10422100 -
Heterogeneous Graph-based Trajectory Prediction using Local Map Context and Social Interactions
Grimm, D.; Zipfl, M.; Hertlein, F.; Naumann, A.; Luettin, J.; Thoma, S.; Schmid, S.; Halilaj, L.; Rettinger, A.; Zöllner, J. M.
2024. 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), Bilbao, 24th -28th September 2023, 2901 – 2907, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ITSC57777.2023.10422462
2023
Proceedingsbeiträge
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A Model-Based Approach to Automotive Feature Development for Updates and Upgrades
Schindewolf, M.; Wittler, J. W.; Kühn, T.; Grimm, D.; Sax, E.
2023. 2023 IEEE International Conference on Service-Oriented System Engineering (SOSE), 19–26, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SOSE58276.2023.00009 -
Holistic Graph-based Motion Prediction
Grimm, D.; Schörner, P.; Dreßler, M.; Zöllner, J.-M.
2023. 2023 IEEE International Conference on Robotics and Automation (ICRA), 29th May - 02nd June 2023, London, 2965 – 2972, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICRA48891.2023.10161468 -
Adaptive Cybersecurity Monitoring for Resilient Vehicular Architectures
Grimm, D.; Zink, M.; Schindewolf, M.; Sax, E.
2023. 2023 IEEE Vehicular Networking Conference (VNC), 41–48, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/VNC57357.2023.10136321 -
Fleet in the Loop: An Open Source approach for design and test of resilient vehicle architectures
Grimm, D.; Schindewolf, M.; Sax, E.
2023. 2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS), 1–8, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISADS56919.2023.10092108
2022
Zeitschriftenaufsätze
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Generic Patterns for Intrusion Detection Systems in Service-Oriented Automotive and Medical Architectures
Puder, A.; Rumez, M.; Grimm, D.; Sax, E.
2022. Journal of cybersecurity and privacy, 2 (3), 731–749. doi:10.3390/jcp2030037
Proceedingsbeiträge
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Toward a Resilient Automotive Service-Oriented Architecture by using Dynamic Orchestration
Schindewolf, M.; Grimm, D.; Lingor, C.; Sax, E.
2022. 2022 IEEE 1st International Conference on Cognitive Mobility (CogMob), 147–154, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CogMob55547.2022.10118016 -
Context-aware vehicle and fleet security combining a Knowledge Graph and an object-oriented model
Grimm, D.; Sax, E.
2022. 2022 International Conference on Connected Vehicle and Expo (ICCVE), 7th - 9th March 2022, Lakeland, FL, USA, 1–8, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICCVE52871.2022.9742971
2021
Zeitschriftenaufsätze
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Context-aware Security for Vehicles and Fleets: A Survey
Grimm, D.; Stang, M.; Sax, E.
2021. IEEE Access, 9, 101809–101846. doi:10.1109/ACCESS.2021.3097146
Proceedingsbeiträge
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Dynamic Reconfiguration of Automotive Architectures Using a Novel Plug-and-Play Approach
Stoll, H.; Grimm, D.; Schindewolf, M.; Brodatzki, M.; Sax, E.
2021. 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops) 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops), Nagoya, Japan, 11-17 July 2021, 70–75, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IVWorkshops54471.2021.9669222
2020
Buchaufsätze
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Network Security Monitoring in Automotive Domain
Grimm, D.; Pistorius, F.; Sax, E.
2020. Advances in Information and Communication – Proceedings of the 2020 Future of Information and Communication Conference (FICC), Volume 1. Ed.: K. Arai, 782–799, Springer International Publishing. doi:10.1007/978-3-030-39445-5_57
Zeitschriftenaufsätze
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An Overview of Automotive Service-Oriented Architectures and Implications for Security Countermeasures
Rumez, M.; Grimm, D.; Kriesten, R.; Sax, E.
2020. IEEE access, 8, 221852–221870. doi:10.1109/ACCESS.2020.3043070
Proceedingsbeiträge
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Evaluation of Deep Reinforcement Learning Algorithms for Autonomous Driving
Stang, M.; Grimm, D.; Gaiser, M.; Sax, E.
2020. 2020 IEEE Intelligent Vehicles Symposium (IV), 19 October - 13 November 2020, online, 1576–1582, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IV47402.2020.9304792 -
QUA³CK - A Machine Learning Development Process
Stock, S. C.; Becker, J.; Grimm, D.; Hotfilter, T.; Molinar, G.; Stang, M.; Stork, W.
2020. Proceedings of Artificial Intelligence for Science, Industry and Society — PoS(AISIS2019), 026, Scuola Internazionale Superiore di Studi Avanzati (SISSA). doi:10.22323/1.372.0026 -
Development Processes in Automotive Service-oriented Architectures
Vetter, A.; Obergfell, P.; Guissouma, H.; Grimm, D.; Rumez, M.; Sax, E.
2020. 9th Mediterranean Conference on Embedded Computing (MECO), 1–7, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MECO49872.2020.9134175 -
FEEDI - A Smart Wearable Foot-Band for Navigation and Guidance Using Haptic Feedback
Stock, S.; Bertemes, A.; Stang, M.; Böhme, M.; Grimm, D.; Stork, W.
2020. Human Interaction, Emerging Technologies and Future Applications II : Proceedings of the 2nd International Conference on Human Interaction and Emerging Technologies: Future Applications (IHIET – AI 2020), April 23-25, 2020, Lausanne, Switzerland. Ed.: T. Ahram, 349–355, Springer. doi:10.1007/978-3-030-44267-5_52
2019
Vorträge
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The QUA³CK Machine Learning Development Process and the Laboratory for Applied Machine Learning Approaches (LAMA)
Becker, J.; Grimm, D.; Hotfilter, T.; Meier, C.; Molinar, G.; Stang, M.; Stock, S.; Stork, W.
2019, Oktober 22. Symposium Artificial Intelligence for Science, Industry and Society (AISIS 2019), Mexiko-Stadt, Mexiko, 20. Oktober–25. Dezember 2019
2018
Proceedingsbeiträge
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An extended hybrid anomaly detection system for automotive electronic control units communicating via ethernet efficient and effective analysis using a specification- and machine learning-based approach
Grimm, D.; Weber, M.; Sax, E.
2018. 4th International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2018; Funchal, Madeira; Portugal; 16 March 2018 through 18 March 2018, 462–473, SciTePress -
An Extended Hybrid Anomaly Detection System for Automotive Electronic Control Units Communicating via Ethernet - Efficient and Effective Analysis using a Specification- and Machine Learning-based Approach
Grimm, D.; Weber, M.; Sax, E.
2018. 4th International Conference on Vehicle Technology and Intelligent Transport Systems, Funchal, Madeira, Portugal, 16–18 March 2018, 462–473, SciTePress. doi:10.5220/0006779204620473