AoA-aided Kalman Filter to Mitigate 0 Data Injections Attacks in Vehicular Scenarios
Ref: CISTER-TR-240903 Publication Date: 7 to 10, Oct, 2024
AoA-aided Kalman Filter to Mitigate 0 Data Injections Attacks in Vehicular Scenarios
Ref: CISTER-TR-240903 Publication Date: 7 to 10, Oct, 2024Abstract:
In Autonomous Driving (AD), precise positioning is crucial for safe, efficient and cost-effective transportation. However, malicious cyber threats such as false data injection (FDI)
attacks via Vehicle-to-Everything (V2X) links can significantly undermine these goals. FDI involves the insertion of incorrect data into the ego-vehicle or information system (IS), at specific points in time (Impulse FDI) or over specific intervals (Pulse FDI). To combat the specific threat of incorrect position data being shared by a Vehicle-of-Interest, our approach leverages collaboration between a set of trusted participants to perform positioning by exchanging Angle-of-Arrival (AoA) measurements over sidelinks paired with a Kalman Filter. Our method reduces localization errors caused by Impulse FDI to below 10m in 60% of cases, and the errors caused by Pulse FDI in 66.39% of cases.
Luis Puente Lam
Pedro Miguel Santos2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall), 1st Workshop on Positioning Technologies for 5G & 6G (POSIT-6G).
Washington DC, U.S.A..
Record Date: 18, Sep, 2024