Date of Degree
Abdullah Uz Tansel
Digital Communications and Networking
Private, Information, Retrieval
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.
Nikolopoulos, Konstantinos, "Efficient Private Information Retrieval" (2019). CUNY Academic Works.
This work is embargoed and will be available for download on Wednesday, October 16, 2019
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