M. Sc. Daniel Grimm

Curriculum vitae

Bachelor's degree in Electrical Engineering and Information Technology at KIT
- Graduated in November 2015
- Bachelor thesis:
  - Karlsruhe Institute of Technology (KIT), Institute for Industrial Information Technology (IIIT)
  - Topic of the thesis: "Long-term 3D head pose tracking by using a dynamic object model"
Master's degree in Electrical Engineering and Information Technology at KIT
- Graduation in October 2017
- Master's thesis:
  - Karlsruhe Institute of Technology (KIT), Institute for Information Processing Technology (ITIV)
  - Topic of the thesis: "Static and dynamic anomaly detection in Ethernet-based communication"

Teaching

Supervision of exercises for 2311651 Information Technology I

Research interests

Cyber security for vehicles
Machine learning
Automotive software architecture

Supervised completed student theses

MA: "Reinforcement Learning for autonomous driving in the simulation environment AirSim; Reinforcement Learning for Autonomous Driving AirSim"
MA: "Application and validation of machine learning based on reinforcement learning for autonomous vehicles in a simulation environment"
BA: "Modeling and prototypical implementation of a generic security context model for vehicles"
BA: "Optimization of an intrusion detection system based on neural networks"
BA: "Anomaly detection in time series by convolutional autoencoders"
BA: "Visual anomaly detection using autoencoders"
BA: "Development of a machine learning based structure monitoring for a research helicopter"
BA: "Selection and evaluation of suitable concepts for storing and analyzing security information"
BA: "Development of a platform for the explorative analysis of large amounts of data from the automotive sector"
MA: "Design and implementation of a data processing architecture based on current connected car services"
BA: "Conception of a procedure for cross-fleet security analysis of vehicles"
BA: "Implementation and evaluation of different neural networks for combined anomaly detection in several signals of CAN-based communication"
BA: "Concept for the detection of anomalies in Ethernet-based communication in vehicles using machine learning"
BA : "Synthesizing contextual anomalies in vehicle data"

Publications

2026

Conference Papers

AURORA Networks: Auto-associative Universal Real-Time Outlier Risk Assessment Networks
Zink, M.; Grimm, D.; Sax, E.
2026. Computer Safety, Reliability, and Security. SAFECOMP 2025 Workshops – CoC3CPS, DECSoS, SASSUR, SENSEI, SRToITS, and WAISE, Stockholm, Sweden, September 9, 2025, Proceedings. Ed.: M. Törngren, 499–510, Springer Nature Switzerland. doi:10.1007/978-3-032-02018-5_36

2024

Journal Articles

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

Conference Papers

Cyber Situational Awareness in Vehicle Security Operations: Holistic Monitoring and a Data Model
Grimm, D.; Zink, M.; Schindewolf, M.; Sax, E.
2024. 2024 20th International Conference on Network and Service Management (CNSM), 28th-31th October 2024, 1–7, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/CNSM62983.2024.10814319
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

Conference Papers

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

Journal Articles

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

Conference Papers

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

Journal Articles

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

Conference Papers

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

Book Chapters

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

Journal Articles

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

Conference Papers

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

Presentations

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, October 22. Symposium Artificial Intelligence for Science, Industry and Society (AISIS 2019), Mexico City, Mexico, October 20–December 25, 2019

2018

Conference Papers

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