Conference proceeding
Diagnosis-guided Attack Recovery for Securing Robotic Vehicles from Sensor Deception Attacks
Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, pp.915-929
ACM Conferences
ASIA CCS '24: 19th ACM Asia Conference on Computer and Communications Security
07/01/2024
DOI: 10.1145/3634737.3644997
Abstract
Sensors are crucial for perception and autonomous operation in robotic vehicles (RV). Unfortunately, RV sensors can be compromised by physical attacks such as sensor tampering or spoofing. In this paper, we present DeLorean, a unified framework for attack detection, attack diagnosis, and recovering RVs from sensor deception attacks (SDA). DeLorean can recover RVs even from strong SDAs in which the adversary targets multiple heterogeneous sensors simultaneously. We propose a novel attack diagnosis technique that inspects the attack-induced errors under SDAs, and identifies the targeted sensors using causal analysis. DeLorean then uses historic state information to selectively reconstruct physical states for compromised sensors, enabling targeted attack recovery under single or multi-sensor SDAs. We evaluate DeLorean on four real and two simulated RVs under SDAs targeting various sensors, and we find that it successfully recovers RVs from SDAs in 93% of the cases.
Details
- Title: Subtitle
- Diagnosis-guided Attack Recovery for Securing Robotic Vehicles from Sensor Deception Attacks
- Creators
- Pritam Dash - University of British ColumbiaGuanpeng Li - University of IowaMehdi Karimibiuki - University of British ColumbiaKarthik Pattabiraman - University of British Columbia
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, pp.915-929
- Conference
- ASIA CCS '24: 19th ACM Asia Conference on Computer and Communications Security
- Publisher
- ACM
- Series
- ACM Conferences
- DOI
- 10.1145/3634737.3644997
- Grant note
This work was partially supported by the Natural Sciences and Engineering Research Council of Canada (NSERC), and a Four Year Fellowship from UBC. We thank the reviewers of AsiaCCS'24 and our shepherd Dr. Jairo Giraldo for their helpful comments.
- Language
- English
- Date published
- 07/01/2024
- Academic Unit
- Computer Science
- Record Identifier
- 9984649048802771
Metrics
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