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PhD Dissertation Defense Announcement by Ikjot Saini:"Towards a Framework for Preserving Privacy in VANET"

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
 
 

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