Markus Zoppelt

Entwicklung autonom fahrender Modellfahrzeuge

IT-Security für das hochautomatisierte, autonome und vernetzte Fahren

Veröffentlichungen:

• Brost, J., Egger, C., Lai, R., Schmid, F., Schröder, D., & Zoppelt, M. (2020). Threshold Password-Hardened Encryption Services. Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security, CCS 2020, Orlando, USA, November 09-13, 2020. ACM.

• Zoppelt, M., & Tavakoli Kolagari, R. (2019). Reaching Grey Havens: Industrial Automotive Security Modeling with SAM. In International Journal on Advances in Security, vol 12 no, (pp. 223–235).

• Zoppelt, M., & Tavakoli Kolagari, R. (2019). What Today’s Serious Cyber Attacks on Cars Tell Us: Consequences for Automotive Security and Dependability. In International Symposium on Model-Based Safety and Assessment (pp. 270–285). Springer International Publishing. Thessaloniki, Greece. https://doi.org/10.1007/978-3-030-32872-6_18

• 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.

• 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. (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

Vorträge: 

CAN-Hacking - Reverse Engineering von Fahrzeugfunktionen mit Live-Demo:https://www.youtube.com/watch?v=1SjxYGnpw18