Name
Abstract | ||
|---|---|---|
We study collaborative adaptive cruise control as a representative application for safety services provided by autonomous cars. We provide a detailed analysis of attacks that can be conducted by a motivated attacker targeting the collaborative adaptive cruise control algorithm, by influencing the acceleration reported by another car, or the local LIDAR and RADAR sensors. The attacks have a strong impact on passenger comfort, efficiency and safety, with two of such attacks being able to cause crashes. We also present two detection methods rooted in physical-based constraints and machine learning algorithms. We show the effectiveness of these solutions through simulations and discuss their limitations.
|
Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3212480.3212492 | WiSec '18: 11th ACM Conference on Security & Privacy in Wireless and Mobile Networks
Stockholm
Sweden
June, 2018 |
Field | DocType | ISBN |
Radar,Computer security,Computer science,Cruise control,Real-time computing,Revocation,Lidar,Acceleration | Conference | 978-1-4503-5731-9 |
Citations | PageRank | References |
4 | 0.50 | 18 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matthew Jagielski | 1 | 47 | 5.62 |
| Nicholas Jones | 2 | 4 | 0.84 |
| Chung-Wei Lin | 3 | 43 | 11.64 |
| Cristina Nita-Rotaru | 4 | 1855 | 100.14 |
| shinichi | 5 | 45 | 12.97 |