Doctoral Dissertations
Keywords and Phrases
Anonymization; Hadoop; Location; Privacy; Trust; VANET
Abstract
"The use of location-based services (LBS) (e.g., Intel's Thing Finder) is expanding. Besides the traditional centralized location-based services, distributed ones are also emerging due to the development of Vehicular Ad-hoc Networks (VANETs), a dynamic network which allows vehicles to communicate with one another. Due to the nature of the need of tracking users' locations, LBS have raised increasing concerns on users' location privacy. Although many research has been carried out for users to submit their locations anonymously, the collected anonymous location data may still be mapped to individuals when the adversary has related background knowledge.
To improve location privacy, in this dissertation, the problem of anonymizing the collected location datasets is addressed so that they can be published for public use without violating any privacy concerns. Specifically, a privacy-preserving trajectory publishing algorithm is proposed that preserves high data utility rate. Moreover, the scalability issue is tackled in the case the location datasets grows gigantically due to continuous data collection as well as increase of LBS users by developing a distributed version of our trajectory publishing algorithm which leveraging the MapReduce technique.
As a consequence of users being anonymous, it becomes more challenging to evaluate the trustworthiness of messages disseminated by anonymous users. Existing research efforts are mainly focused on privacy-preserving authentication of users which helps in tracing malicious vehicles only after the damage is done. However, it is still not sufficient to prevent malicious behavior from happening in the case where attackers do not care whether they are caught later on. Therefore, it would be more effective to also evaluate the content of the message. In this dissertation, a novel information-oriented trustworthiness evaluation is presented which enables each individual user to evaluate the message content and make informed decisions"--Abstract, page iii.
Advisor(s)
Lin, Dan
Committee Member(s)
Hurson, A. R.
Madria, Sanjay Kumar
Jiang, Wei
Zawodniok, Maciej Jan, 1975-
Department(s)
Computer Science
Degree Name
Ph. D. in Computer Science
Publisher
Missouri University of Science and Technology
Publication Date
Fall 2014
Pagination
x, 96 pages
Note about bibliography
Includes bibliographical references (pages 88-95).
Rights
© 2014 Sashi Gurung, All rights reserved.
Document Type
Dissertation - Open Access
File Type
text
Language
English
Subject Headings
Location-based servicesVehicular ad hoc networks (Computer networks) -- Security measuresRouting protocols (Computer network protocols)
Thesis Number
T 10608
Electronic OCLC #
902731504
Recommended Citation
Gurung, Sashi, "Privacy and trustworthiness management in moving object environments" (2014). Doctoral Dissertations. 2342.
https://scholarsmine.mst.edu/doctoral_dissertations/2342