Andreas Finkenzeller

According to our database, Andreas Finkenzeller authored at least 9 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Janus: Fast Privacy-Preserving Data Provenance For TLS.

Jan Lauinger, Jens Ernstberger, Andreas Finkenzeller, Sebastian Steinhorst

Proc. Priv. Enhancing Technol., 2025

2024

REACT: Autonomous intrusion response system for intelligent vehicles.

Mohammad Hamad, Andreas Finkenzeller, Michael Kühr, Andrew Roberts, Olaf Maennel, Vassilis Prevelakis, Sebastian Steinhorst

Comput. Secur., 2024

PTPsec: Securing the Precision Time Protocol Against Time Delay Attacks Using Cyclic Path Asymmetry Analysis.

Andreas Finkenzeller, Oliver Butowski, Emanuel Regnath, Mohammad Hamad, Sebastian Steinhorst

Proceedings of the IEEE INFOCOM 2024, 2024

2023

SEEMQTT: Secure End-to-End MQTT-Based Communication for Mobile IoT Systems Using Secret Sharing and Trust Delegation.

Mohammad Hamad, Andreas Finkenzeller, Hangmao Liu, Jan Lauinger, Vassilis Prevelakis, Sebastian Steinhorst

IEEE Internet Things J., February, 2023

Janus: Fast Privacy-Preserving Data Provenance For TLS 1.3.

Jan Lauinger, Jens Ernstberger, Andreas Finkenzeller, Sebastian Steinhorst

IACR Cryptol. ePrint Arch., 2023

Simutack - An Attack Simulation Framework for Connected and Autonomous Vehicles.

Andreas Finkenzeller, Anshu Mathur, Jan Lauinger, Mohammad Hamad, Sebastian Steinhorst

Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

2022

Feasible Time Delay Attacks Against the Precision Time Protocol.

Andreas Finkenzeller, Thomas Wakim, Mohammad Hamad, Sebastian Steinhorst

Proceedings of the IEEE Global Communications Conference, 2022

Attack Data Generation Framework for Autonomous Vehicle Sensors.

Jan Lauinger, Andreas Finkenzeller, Henrik Lautebach, Mohammad Hamad, Sebastian Steinhorst

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2018

Delay Compensation for a Telepresence System With 3D 360 Degree Vision Based on Deep Head Motion Prediction and Dynamic FoV Adaptation.

Tamay Aykut, Mojtaba Karimi, Christoph Burgmair, Andreas Finkenzeller, Christoph Bachhuber, Eckehard G. Steinbach

IEEE Robotics Autom. Lett., 2018