Skip navigation
Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp01g732dc74s
Title: CDNs and Privacy Threats: A Measurement Study
Authors: Levy, Akash
Advisors: Mittal, Prateek
Department: Electrical Engineering
Certificate Program: Applications of Computing Program
Class Year: 2018
Abstract: Content Delivery Networks (CDNs) are distributed overlay networks that deliver con- tent to end users on behalf of origin websites. They have generally been treated by both origin websites and end users as trusted entities—as a result, there has been little study on potential privacy threats that arise from their widespread usage. In this thesis, we consider privacy threats posed by CDNs that have access to a large set of user browsing information. We examine CDN usage in top websites and discuss what inferences the most popular CDNs might be able to make about end users based on the quantity and nature of the content they deliver.
URI: http://arks.princeton.edu/ark:/88435/dsp01g732dc74s
Type of Material: Princeton University Senior Theses
Language: en
Appears in Collections:Electrical and Computer Engineering, 1932-2023

Files in This Item:
File Description SizeFormat 
LEVY-AKASH-THESIS.pdf1.76 MBAdobe PDF    Request a copy


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