Splinter : practical private queries on public data

Every day, millions of people rely on third party services like Google Maps to navigate from A to B. With existing technology, each query provides Google and their affiliates with a track record of where they've been and where they're going. In this thesis, I design, engineer, and implement a solution that offers absolute privacy when making routing queries, through the application of the Function Secret Sharing (FSS) cryptographic primitive. I worked on a library in Golang that applied an optimized FSS protocol, and exposed an API to generate and evaluate different kinds of queries. I then built a system with servers that handle queries to the database, and clients that generate queries. I used DIMACS maps data and the Transit Node Routing (TNR) algorithm to obtain graph data hosted by the servers. Finally, I evaluated the performance of my system for practicality, and compared it to existing private map routing systems.

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2017

Author dc:creator

• Yun, Catherine (Catherine T.)

Advisor dc:contributor.advisor

• Vinod Vaikuntanathan.

• Electrical Engineering and Computer Science.

Statement dc:rights

• MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/113458

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/113458