Date of Award:
5-2014
Document Type:
Thesis
Degree Name:
Master of Science (MS)
Department:
Electrical and Computer Engineering
Committee Chair(s)
Ryan Gerdes
Committee
Ryan Gerdes
Committee
Rajnikant Sharma
Committee
Don Cripps
Committee
Tam Chantem
Abstract
The development of automated vehicles has come more into the focus of researchers due to progress in areas of potential benefit, such as increasing road safety and fuel efficiency and reducing time road travel by decreasing traffic congestion and, thus, minimizing workload on the driver. For a platoon (which is a method of grouping vehicles that helps increase the capacity of roads by managing the distance between vehicles by using electrical and mechanical coupling) of such vehicles, the inter-vehicular distance is one of the most important facets to be taken into consideration. As in automated highway systems (AHS) (AHS is a technology implementing vehicle platooning), the vehicles’ close spacing is controlled by computers, using inter-vehicular communication, which is the concept of adaptive cruise control (ACC).
Cyber physical systems (CPS) are systems that comprise computational elements to communicate among and control physical entities. A platoon of autonomous vehicles is one such system. Owing to such computer control, the system becomes susceptible to various kinds of cyber physical attacks.
This research entails the survey of a number of vehicle models used in different works pertaining to longitudinal vehicle motion and analysis of a special class of cyber physical attacks called false data injection (FDI) attacks on vehicle platoons moving with longitudinal motion. In this kind of attack, an attacker can exploit the configuration of any cyber physical system to introduce arbitrary errors into certain state variables so as to gain control over the system. So here, an n-vehicle platoon is considered and a linearized vehicle model is used as a testbed to study vehicle dynamics and control after false information is fed into the system.
Checksum
d86dbe508803b41c05a1692297d25829
Recommended Citation
Biswas, Bidisha, "Analysis of False Data Injection in Vehicle Platooning" (2014). All Graduate Theses and Dissertations, Spring 1920 to Summer 2023. 4038.
https://digitalcommons.usu.edu/etd/4038
Included in
Copyright for this work is retained by the student. If you have any questions regarding the inclusion of this work in the Digital Commons, please email us at .