Attack Potential-Based Cybersecurity Risk Assessment of AV Sensing Systems
8th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, ICHORA 2026, Ankara, Türkiye, 21 - 23 Mayıs 2026, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/ichora69329.2026.11537168
- Basıldığı Şehir: Ankara
- Basıldığı Ülke: Türkiye
- Anahtar Kelimeler: Attack potential-based framework, AV sensing systems, cybersecurity risk assessment
- Bursa Uludağ Üniversitesi Adresli: Evet
Özet
Cameras, LiDAR, and RADAR are just a few of the sensing tools used by autonomous cars to observe and comprehend their surroundings. Strong surveillance is provided by these sensors, but they also give enemies a wide attack surface to exploit. This paper investigates significant cyber-physical threats to the sensing layers of autonomous vehicles, such as adversarial situations and camera blindness, LiDAR spoofing and saturation, RADAR spoofing, jamming, and interference. Using an attack potential-based feasibility assessment in compliance with ISO/SAE 21434, each attack is evaluated based on elapsed time, necessary expertise, component knowledge, window of opportunity, and equipment. To calculate overall risk, feasibility ratings are paired with safety impact levels obtained from ISO 26262. The results demonstrate that although some attacks are highly effective, their technical complexity limits their use, whereas simpler attacks could provide more operational risks. In order to help prioritize cybersecurity solutions for autonomous vehicle sensing systems, this study provides an organized, riskoriented perspective.