City Research Online

Data Centric Rogue Node Detection in VANETs

Zaidi, K., Milojevic, M., Rakocevic, V. & Rajarajan, M. (2014). Data Centric Rogue Node Detection in VANETs. Paper presented at the IEEE Trustcom, 24-09-2014 - 26-09-2014, Beijing, China.

Abstract

Vehicular ad hoc networks (VANETs) are the future of vehicular technology and Traffic Information Systems. In VANETs vehicles communicate by different types of beacon messages to inform each other of their position and speed to give them a sense of traffic around them. Vehicles can also send emergency messages in case of accidents or other hazards. The very fast moving nodes have to act quickly based on these emergency messages. However, a rogue node which sends false emergency messages can wreak havoc in the network that may even result in fatalities. This paper develops and simulates a technique to detect a rogue node that is sending false emergency messages in VANETs by cooperative exchange of data without the need of any infrastructure or revocation list. Also, the proposed mechanism will make VANETs fault tolerant and resilient against injection of false data.

Publication Type: Conference or Workshop Item (Paper)
Additional Information: © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Publisher Keywords: Security, wireless networks, ad-hoc, cryptography, fault tolerance, VANETs
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Departments: School of Science & Technology > Engineering
[thumbnail of Data Centric Rogue Node Detection in VANETs.pdf]
Preview
PDF - Accepted Version
Download (556kB) | Preview

Export

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Downloads

Downloads per month over past year

View more statistics

Actions (login required)

Admin Login Admin Login