- 2024
- Alexander Åström
:
Revisiting Automotive Threat Analysis by Leveraging the Elements of the Threat Landscape. CSCS 2024: 1-12 - Noah T. Curran, Minkyoung Cho, Ryan Feng, Liangkai Liu, Brian Jay Tang, Pedram MohajerAnsari, Alkim Domeke, Mert D. Pesé, Kang G. Shin:
Achieving the Safety and Security of the End-to-End AV Pipeline. CSCS 2024: 13-24 - Florian Fenzl, Jonathan Stancke, Christian Plappert, Roland Rieke, Felix Clemens Gail, Theo Dimitrakos, Hussein Joumaa:
SecPol: Enabling Security Policy Control in Vehicle Networks using Intrusion Detection and Hardware Trust. CSCS 2024: 25-38 - Lorenzo Guerra, Linhan Xu, Paolo Bellavista, Thomas Chapuis, Guillaume Duc, Pavlo Mozharovskyi, Van-Tam Nguyen:
AI-Driven Intrusion Detection Systems (IDS) on the ROAD Dataset: A Comparative Analysis for Automotive Controller Area Network (CAN). CSCS 2024: 39-49 - Timm Lauser, Gideon Munoz Molto, Christoph Krauß:
(Un)authenticated Diagnostic Services: A Practical Evaluation of Vulnerabilities in the UDS Authentication Service. CSCS 2024: 50-60 - Marco Michl, Hans-Joachim Hof, Stefan Katzenbeisser:
Classification, Impact, and Mitigation Strategies of Attacks in Automotive Trust Management Systems. CSCS 2024: 61-75 - Jean-Philippe Monteuuis, Jonathan Petit, Cong Chen, Soumya Das, Mohammad Nekoui, Seung Yang:
V2X Misbehavior in Decentralized Notification Basic Service: Considerations for Standardization. CSCS 2024: 76-84 - Mario Fritz, Christoph Krauß, Hans-Joachim Hof:
Proceedings of the 2024 on Cyber Security in CarS Workshop, CSCS 2024, Salt Lake City, UT, USA, October 14-18, 2024. ACM 2024, ISBN 979-8-4007-1232-6 [contents] - 2023
- Sebastian Pape, Sarah Syed-Winkler, Armando Miguel Garcia, Badreddine Chah, Anis Bkakria, Matthias Hiller, Tobias Walcher, Alexandre Lombard, Abdeljalil Abbas-Turki, Reda Yaich:
A Systematic Approach for Automotive Privacy Management. CSCS 2023: 7:1-7:12 - Laura Bottner, Artur Hermann, Jeremias Eppler, Thomas Thüm, Frank Kargl:
Evaluation of Free and Open Source Tools for Automated Software Composition Analysis. CSCS 2023: 3:1-3:11 - Oliver Grau, Korbinian Hagn:
VALERIE22 - A photorealistic, richly metadata annotated dataset of urban environments. CSCS 2023: 6:1-6:9 - Patrick Grümer, Pedro Brandão:
Computing an Automotive Cybersecurity Maturity Level Assessment Programme. CSCS 2023: 4:1-4:10 - Stefan F. Marksteiner, Christoph Schmittner, Korbinian Christl, Dejan Nickovic, Mikael Sjödin, Marjan Sirjani:
From TARA to Test: Automated Automotive Cybersecurity Test Generation Out of Threat Modeling. CSCS 2023: 5:1-5:10 - Etienne Sapin, Suraj Menon, Jingquan Ge, Sheikh Mahbub Habib, Maurice Heymann, Yuekang Li, Rene Palige, Gabriel Byman, Yang Liu:
Monitoring Automotive Software Security Health through Trustworthiness Score. CSCS 2023: 1:1-1:9 - Friedrich Wiemer, Alexander Zeh:
Enabling Secure Communication for Automotive Endpoint-ECUs through Lightweight-Cryptography. CSCS 2023: 9:1-9:10 - Ali Recai Yekta, Dominik Spychalski, Erhan Yekta, Cenk Yekta, Stefan Katzenbeisser:
VATT&EK: Formalization of Cyber Attacks on Intelligent Transport Systems - a TTP based approach for Automotive and Rail. CSCS 2023: 8:1-8:17 - Michael Zohner, Kristijan Lazeski:
Security Analysis and Challenges of a Modular Vehicle Fleet. CSCS 2023: 2:1-2:10 - Björn Brücher, Christoph Krauß, Mario Fritz, Hans-Joachim Hof, Oliver Wasenmüller:
Proceedings of the 7th ACM Computer Science in Cars Symposium, CSCS 2023, Darmstadt, Germany, 5 December 2023. ACM 2023 [contents] - 2022
- David Förster, Thomas Bruckschlögl, Jason Lee Omer, Tom Schipper:
Challenges and Directions for Automated Driving Security. CSCS 2022: 5:1-5:11 - Jingquan Ge, Yuekang Li, Yaowen Zheng, Yang Liu, Sheikh Mahbub Habib:
More Secure Collaborative APIs resistant to Flush-Based Cache Attacks on Cortex-A9 Based Automotive System. CSCS 2022: 7:1-7:9 - Korbinian Hagn, Oliver Grau:
Increasing pedestrian detection performance through weighting of detection impairing factors. CSCS 2022: 1:1-1:10 - Ahmed Hammam, Frank Bonarens, Seyed Eghbal Ghobadi, Christoph Stiller:
Predictive Uncertainty Quantification of Deep Neural Networks using Dirichlet Distributions. CSCS 2022: 4:1-4:10 - Oliver Pöllny, Frank Kargl, Albert Held:
Steering Your Car With Electromagnetic Fields. CSCS 2022: 8:1-8:9 - Sara Ramezanian, Gizem Akman, Mohamed Taoufiq Damir, Valtteri Niemi:
Lightweight Privacy-Preserving Ride-Sharing Protocols for Autonomous Cars. CSCS 2022: 11:1-11:11 - Andrew Roberts, Mohsen Malayjerdi, Ehsan Malayjerdi, Olaf Manuel Maennel:
Combined Safety and Cybersecurity Testing Methodology for Autonomous Driving Algorithms. CSCS 2022: 12:1-12:10 - Thomas Stauner, Frédérik Blank, Michael Fürst, Johannes Günther, Korbinian Hagn, Philipp Heidenreich, Markus Huber, Bastian Knerr, Thomas Schulik, Karl-Ferdinand Leiß:
SynPeDS: A Synthetic Dataset for Pedestrian Detection in Urban Traffic Scenes. CSCS 2022: 2:1-2:10 - Sarah Syed-Winkler, Sebastian Pape, Ahmad Sabouri:
A Data Protection-Oriented System Model Enforcing Purpose Limitation for Connected Mobility. CSCS 2022: 10:1-10:11 - David Tena-Gago, Qi Wang, José M. Alcaraz-Calero:
Evaluation of Level 2 Automated Driving Artificial Intelligence Readiness in Simulated Scenarios. CSCS 2022: 3:1-3:8 - Arash Vahidi, Thomas Rosenstatter, Nishat I. Mowla:
Systematic Evaluation of Automotive Intrusion Detection Datasets. CSCS 2022: 6:1-6:12 - Patrick Wachter, Stephan Kleber:
Analysis of the DoIP Protocol for Security Vulnerabilities. CSCS 2022: 9:1-9:10
