July 28, 2023, 1:10 a.m. | Junjie Shen, Yunpeng Luo, Ziwen Wan, Qi Alfred Chen

cs.CR updates on arXiv.org arxiv.org

Localization in high-level Autonomous Driving (AD) systems is highly security
critical. While the popular Multi-Sensor Fusion (MSF) based design can be more
robust against single-source sensor spoofing attacks, it is found recently that
state-of-the-art MSF algorithms is vulnerable to GPS spoofing alone due to
practical factors, which can cause various road hazards such as driving off
road or onto the wrong way. In this work, we perform the first systematic
exploration of the novel usage of lane detection (LD) to …

algorithms art attack attacks autonomous autonomous driving critical defense design detection domain driving fusion gps high localization opportunity popular security sensor single spoofing state systems vulnerable

Consultant Sécurité SI H/F Gouvernance - Risques - Conformité - Nantes

@ Hifield | Saint-Herblain, France

L2 Security - Senior Security Engineer

@ Paytm | Noida, Uttar Pradesh

GRC Integrity Program Manager

@ Meta | Bellevue, WA | Menlo Park, CA | Washington, DC | New York City

Consultant Active Directory H/F

@ Hifield | Sèvres, France

Consultant PCI-DSS H/F

@ Hifield | Sèvres, France

Head of Security Operations

@ Canonical Ltd. | Home based - Americas, EMEA