Markus Zoppelt ∙ Technology Expert ∙ PhD Student

My Expertise

Automotive

automotive

Automotive software engineering, automotive systems modeling, buses and vehicle networks

Security

security

Secure networks, penetration testing, vulnerability assessment

Blockchain

blockchain

Comprehensive knowledge of blockchain, decentralization, IoT, cryptocurrencies & new economy

picture of me being interviewed on bavarian television

"Use technology to your advantage, embrace new paradigms and keep pushing forward!"

Publications

Zoppelt, M., & Tavakoli Kolagari, R. (2018). SAM: A Security Abstraction Model for Automotive Software Systems. In Security and Safety Interplay of Intelligent Software Systems (pp. 59–74). Springer. https://doi.org/10.1007/978-3-030-16874-2_5

Auernhammer, K., Tavakoli Kolagari, R., & Zoppelt, M. (2019). Attacks on Machine Learning : Lurking Danger for Accountability. In Proceedings of the AAAI Workshop on Artificial Intelligence Safety 2019 co-located with the Thirty-Third AAAI Conference on Artificial Intelligence 2019 (AAAI 2019) (p. 9). Honolulu, Hawaii.

Zoppelt, M., & Tavakoli Kolagari, R. (2019). UnCle SAM : Modeling Cloud Attacks with the Automotive Security Abstraction Model. In CLOUD COMPUTING 2019, The Tenth International Conference on Cloud Computing, GRIDs, and Virtualization (pp. 67–72). Venice, Italy.

Featured Projects

research

IT-security for autonomous and connected driving

SAM · (GitHub) - a Security Abstraction Model for the EAST-ADL.
Penetration Testing
Reliable and Adaptive Key Distribution in heterogeneous vehicular CAN-Bus Networks

This project is part of my doctoral studies at Nuremberg Institute of Technology