Thursday, May 28, 2020 - 10:00 to 13:00
SCHOOL OF COMPUTER SCIENCE
The School of Computer Science is pleased to present…
PhD Dissertation Defense by: Ikjot Saini
Date: Thursday May 28, 2020
Time: 10:00 am – 1:00 pm
Zoom Meeting URL: https://zoom.us/j/95937602221?
Abstract:
Vehicular Ad hoc Network (VANET) raises unique privacy issues which must be considered in the embedded system design. However, quantification of the privacy threats is a major challenge in Vehicular Ad hoc Networks. There are several Pseudonym Changing Schemes(PCS) proposed as effective de-identification approaches to prevent the inference of Personally Identifiable Information(PII). However, for various reasons, none of the proposed schemes received public acceptance. In this research, we propose a framework to assess the effectiveness of PCSs in VANET with a systematic approach. This research introduces a standard methodology to evaluate and compare VANET PCSs using a generic simulation setup to obtain realistic and consistent results. We also propose two Intelligent Adversary Placement schemes that aim to maximize the degree of observation for attackers with limited capabilities. Finally, we present a Context-Aware and Traffic based PCS that addresses the vulnerabilities of existing pseudonym changing schemes that were identified in our evaluations. The proposed strategy focuses on eliminating the static triggers for pseudonym change and leverages the situation for changing pseudonyms that increases anonymity.
Keywords: VANET, DSRC, Privacy, Pseudonym Changing Scheme, Adversary Placements
Thesis Committee:
Internal Reader: Dr. Robert D. Kent
Internal Reader: Dr. Saeed Samet
External Reader: Dr. Maher Azzouz
External Examiner: Dr. Jean Martina
Advisor(s): Dr. Arunita Jaekel and Dr. Sherif Saad
Chair: Dr. Brent Lee
PhD Dissertation Defense Announcement
5113 Lambton Tower 401 Sunset Ave. Windsor ON, N9B 3P4 (519) 253-3000 Ext. 3716 csgradinfo@uwindsor.ca