Estimation Of Safe Sensor Measurements Of Autonomous System Under Attack
Abstract
The introduction of automation in cyber-physical systems (CPS) has raised major safety and security concerns. One attack vector is the sensing unit whose measurements can be manipulated by an adversary through attacks such as denial of service and delay injection. To secure an autonomous CPS from such attacks, we use a challenge response authentication (CRA) technique for detection of attack in active sensors data and estimate safe measurements using the recursive least square algorithm. For demonstrating effectiveness of our proposed approach, a car-follower model is considered where the follower vehicle's radar sensor measurements are manipulated in an attempt to cause a collision.
Publication Date
6-18-2017
Publication Title
Proceedings - Design Automation Conference
Volume
Part 128280
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1145/3061639.3062241
Copyright Status
Unknown
Socpus ID
85023615937 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85023615937
STARS Citation
Dutta, Raj Gautam; Guo, Xiaolong; Zhang, Teng; Kwiat, Kevin; and Kamhoua, Charles, "Estimation Of Safe Sensor Measurements Of Autonomous System Under Attack" (2017). Scopus Export 2015-2019. 6662.
https://stars.library.ucf.edu/scopus2015/6662