Skip navigation
Please use this identifier to cite or link to this item:
Title: Scaling OpenWPM
Authors: Beaulieu, Nicholas
Advisors: Narayanan, Arvind
Department: Computer Science
Class Year: 2015
Abstract: The Open Web Privacy Measurements platform has been successful at providing a framework for black-box testing of the internet. OpenWPM produces cross-sectional studies which are di cult to distribute. We propose architectural changes to Open- WPM that enable both longitudinal studies and single click reproduction. By redesign- ing the storage and analysis components to scale horizontally, the architecture can scale to growing needs. We encapsulate the added complexity in static containers which are deployed using scripts in order to reproduce studies in under ten minutes.
Extent: 21 pages
Type of Material: Princeton University Senior Theses
Language: en_US
Appears in Collections:Computer Science, 1988-2020

Files in This Item:
File SizeFormat 
PUTheses2015-Beaulieu_Nicholas.pdf291 kBAdobe PDF    Request a copy

Items in Dataspace are protected by copyright, with all rights reserved, unless otherwise indicated.