"In a connected vehicle environment, the vehicles in a region can form a distributed network (Vehicular Ad-hoc Network or VANETs) where they can share traffic-related information such as congestion or no-congestion with other vehicles within its proximity, or with a centralized entity via. the roadside units (RSUs). However, false or fabricated information injected by an attacker (or a malicious vehicle) within the network can disrupt the decision-making process of surrounding vehicles or any traffic-monitoring system. Since in VANETs the size of the distributed network constituting the vehicles can be small, it is not difficult for an attacker to propagate an attack across multiple vehicles within the network. Under such circumstances, it is difficult for any traffic monitoring organization to recognize the traffic scenario of the region of interest (ROI). Furthermore, even if we are able to establish a secured connected vehicle environment, an attacker can leverage the connectivity of individual vehicles to the outside world to detect vulnerabilities, and disrupt the normal functioning of the in-vehicle networks of individual vehicles formed by the different sensors and actuators through remote injection attacks (such as Denial of Service (DoS)). Along this direction, the core contribution of our research is directed towards secured data dissemination, detection of malicious vehicles as well as false and fabricated information within the network. as well as securing the in-vehicle networks through improvisation of the existing arbitration mechanism which otherwise leads to Denial of Service (DoS) attacks (preventing legitimate components from exchanging messages in a timely manner)."--Abstract, page iv.
Madria, Sanjay Kumar
Nadendla, V. Sriram Siddhardh
Zawodniok, Maciej Jan, 1975-
Ph. D. in Computer Science
Intelligent Systems Center
Missouri University of Science and Technology
Journal article titles appearing in thesis/dissertation
- Secure and privacy-preserving traffic monitoring in VANETs
- Distributed incentive-based secured traffic monitoring in VANETs
- BLAME: A blockchain-assisted misbehavior detection and event validation in VANETS
- CanSafe: An MTD based approach for providing resiliency against DoS attack within in-vehicle network
xiv, 152 pages
© 2022 Ayan Roy, All rights reserved.
Dissertation - Open Access
Electronic OCLC #
Roy, Ayan, "Secured information dissemination and misbehavior detection in VANETs" (2022). Doctoral Dissertations. 3173.