Name
Abstract | ||
|---|---|---|
Automotive systems have always been designed with safety in mind. In this regard, the functional safety standard, ISO 26262, was drafted with the intention of minimizing risk due to random hardware faults or systematic failure in design of electrical and electronic components of an automobile. However, growing complexity of a modern car has added another potential point of failure in the form of cyber or sensor attacks. Recently, researchers have demonstrated that vulnerability in vehicle's software or sensing units could enable them to remotely alter the intended operation of the vehicle. As such, in addition to safety, security should be considered as an important design goal. However, designing security solutions without the consideration of safety objectives could result in potential hazards. Consequently, in this paper we propose the notion of security for safety and show that by integrating safety conditions with our system-level security solution, which comprises of a modified Kalman filter and a Chi-squared detector, we can prevent potential hazards that could occur due to violation of safety objectives during an attack. Furthermore, with the help of a car-following case study, where the follower car is equipped with an adaptive-cruise control unit, we show that our proposed system-level security solution preserves the safety constraints and prevent collision between vehicle while under sensor attack.
|
Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3240765.3243496 | ICCAD-IEEE ACM International Conference on Computer-Aided Design |
Keywords | Field | DocType |
Cyber-Physical System,Self-Driving Car,Security,Safety,Estimation,Sensor attack | Computer security,Functional safety,Computer science,Real-time computing,Kalman filter,Collision,Cyber-physical system,Software,Control unit,Electronic component,Vulnerability | Conference |
ISSN | ISBN | Citations |
1933-7760 | 978-1-4503-5950-4 | 2 |
PageRank | References | Authors |
0.37 | 6 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Raj Gautam Dutta | 1 | 45 | 6.74 |
| Feng Yu | 2 | 36 | 10.95 |
| Teng Zhang | 3 | 54 | 14.21 |
| Yaodan Hu | 4 | 3 | 3.08 |
| Yier Jin | 5 | 999 | 85.70 |