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Andreas Finkenzeller
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2020 – today
- 2025
- [j4]Jan Lauinger, Jens Ernstberger, Andreas Finkenzeller, Sebastian Steinhorst:
Janus: Fast Privacy-Preserving Data Provenance For TLS. Proc. Priv. Enhancing Technol. 2025(1): 511-530 (2025) - 2024
- [j3]Mohammad Hamad
, Andreas Finkenzeller, Michael Kühr, Andrew Roberts
REACT: Autonomous intrusion response system for intelligent vehicles. Comput. Secur. 145: 104008 (2024) - [c4]Andreas Finkenzeller, Oliver Butowski, Emanuel Regnath, Mohammad Hamad, Sebastian Steinhorst:
PTPsec: Securing the Precision Time Protocol Against Time Delay Attacks Using Cyclic Path Asymmetry Analysis. INFOCOM 2024: 461-470 - [i3]Mohammad Hamad, Andreas Finkenzeller, Michael Kühr, Andrew Roberts, Olaf Maennel, Vassilis Prevelakis, Sebastian Steinhorst:
REACT: Autonomous Intrusion Response System for Intelligent Vehicles. CoRR abs/2401.04792 (2024) - [i2]Andreas Finkenzeller, Oliver Butowski, Emanuel Regnath, Mohammad Hamad, Sebastian Steinhorst:
PTPsec: Securing the Precision Time Protocol Against Time Delay Attacks Using Cyclic Path Asymmetry Analysis. CoRR abs/2401.10664 (2024) - 2023
- [j2]Mohammad Hamad
SEEMQTT: Secure End-to-End MQTT-Based Communication for Mobile IoT Systems Using Secret Sharing and Trust Delegation. IEEE Internet Things J. 10(4): 3384-3406 (2023) - [c3]Andreas Finkenzeller, Anshu Mathur, Jan Lauinger, Mohammad Hamad
Simutack - An Attack Simulation Framework for Connected and Autonomous Vehicles. VTC2023-Spring 2023: 1-7 - [i1]Jan Lauinger, Jens Ernstberger, Andreas Finkenzeller, Sebastian Steinhorst:
Janus: Fast Privacy-Preserving Data Provenance For TLS 1.3. IACR Cryptol. ePrint Arch. 2023: 1377 (2023) - 2022
- [c2]Jan Lauinger, Andreas Finkenzeller, Henrik Lautebach, Mohammad Hamad
Attack Data Generation Framework for Autonomous Vehicle Sensors. DATE 2022: 128-131 - [c1]Andreas Finkenzeller, Thomas Wakim, Mohammad Hamad
Feasible Time Delay Attacks Against the Precision Time Protocol. GLOBECOM 2022: 3375-3380
2010 – 2019
- 2018
- [j1]Tamay Aykut
Delay Compensation for a Telepresence System With 3D 360 Degree Vision Based on Deep Head Motion Prediction and Dynamic FoV Adaptation. IEEE Robotics Autom. Lett. 3(4): 4343-4350 (2018)
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