SEAMS 2025
Mon 28 - Tue 29 April 2025 Ottawa, Ontario, Canada
co-located with ICSE 2025

This program is tentative and subject to change.

Tue 29 Apr 2025 11:25 - 11:50 at 204 - Session 6: Security

Autonomous Vehicle architectures fuse legacy, electro-mechanical components with advanced sensor technology and digital controllers, governed by software. An open challenge for the design of autonomous vehicles are cyber threats such as Electromagnetic Injection (EMI) attacks, to the low-level layer, comprising electro-mechanical components, which can propagate through to the higher-level, intelligent control, affecting decision-making and the safety of the vehicle. This study analyses the robustness of the design of the software stack of a real-world Autonomous Vehicle to EMI attacks on the steering angle sensor. To achieve this, we create a hybrid testbed which combines the mathematical model of the low-level sensor with the high-fidelity, intelligent control. We further develop safety and performance metrics, measured at the high-level, which we use to generate a detailed view on the safety and system performance of the software. We conduct diverse EMI attacks on the target AV, within 3 diverse critical driving scenarios, consisting > 1000 simulations. The results indicate a correlation between an increase in attack noise with an increase in safety violations and failures to complete the mission of the AV. Our results highlight the importance, for AV software developers, of testing under diverse attack and driving scenarios, as each scenario within our experimentation exhibits different behaviour of the system and correlations to differing safety and system performance indicators.

This program is tentative and subject to change.

Tue 29 Apr

Displayed time zone: Eastern Time (US & Canada) change

11:00 - 12:30
Session 6: SecurityResearch Track at 204
11:00
25m
Talk
Self-Adaptive Dual-Layer DDoS Mitigation using Autoencoder and Reinforcement LearningFULL
Research Track
Qi Duan Carnegie Mellon University, Ehab Al-Shaer Carnegie Mellon University, USA, David Garlan Carnegie Mellon University
11:25
25m
Talk
Analysis of Autonomous Driving Software to Low-Level Sensor Cyber AttacksFULL
Research Track
Andrew Roberts Tallinn University of Technology, Mohsen Malayjerdi Tallinn University of Technology, Mauro Bellone FinEst Smart City Centre, Raivo Sell Tallinn University of Technology, Olaf Maennel University of Adelaide, Mohammad Hamad Technical University of Munich, Sebastian Steinhorst Technical University of Munich
11:50
15m
Talk
A Comprehensive Analysis of Cybersecurity Challenges in Self-Adaptive Avionics: A Plug&Fly Avionics Platform Case StudySHORT
Research Track
Aisha Zahid Junejo Universitat Stuttgart, Mario Werthwein Universitat Stuttgart, Bjoern Annighoefer University of Stuttgart
12:05
15m
Talk
Towards Using Inductive Learning to Adapt Security Controls in Smart HomesSHORT
Research Track
Kushal Ramkumar Lero@University College Dublin, Wanling Cai Lero@Trinity College Dublin, John McCarthy Lero@University College Cork, Gavin Doherty Lero@Trinity College Dublin, Bashar Nuseibeh The Open University, UK; Lero, University of Limerick, Ireland, Liliana Pasquale University College Dublin & Lero
File Attached
12:20
10m
Other
Discussion Session 6
Research Track

:
:
:
: