Efficient Private Information Retrieval

<p>A vast amount of today's Internet users' on line activities consists of queries to various types of databases. From traditional search engines to modern cloud based services, a person's everyday queries over a period of time on various data sources, will leave a trail visible to the query processor, which can reveal significant and possibly sensitive information about her. Private Information Retrieval (PIR) algorithms can be leveraged for providing perfect privacy to users' queries, though at a restrictive computational cost. In this work, we consider today's highly distributed computing environments, as well as certain secure-hardware devices, for optimizing existing PIR solutions. In particular, we initially employ available secure-hardware in a novel approach with the goal of providing faster and constant private query responses, by sacrificing some degree of privacy. Further on, we utilize the widely used Message Passing Interface (MPI) protocol for designing a library which can be used in third party software for performing private queries.</p>

Name thesis:degree_name

Doctor of Philosophy

Level thesis:degree_level

Doctoral

Discipline thesis:degree_discipline

Computer Science

Grantor

The Graduate School and University Center of The City University of New York

Year dc:date.available

2019

Author dc:creator

• Nikolopoulos, Konstantinos

Advisor dc:contributor.advisor

• Spiridon Bakiras

Committee members dc:contributor.committeemember

• Abdullah Uz Tansel
• Sven Dietrich
• Efstathios Zachos

• Digital Communications and Networking
• Private
• Information
• Retrieval

Repository record dc:identifier

https://academicworks.cuny.edu/gc_etds/3158

OAI identifier oai:identifier

oai:academicworks.cuny.edu:gc_etds-4212