Case Studies in Differential Privacy for Computer Networking Research

We conduct two case studies on the use of differential privacy in computer networking research: private analysis of 1) Internet performance measurements from the Measuring Broadband America dataset and 2) flow-based network traces from the NF-UNSW-NB15 Netflow dataset. We survey two open-source tools for this analysis, Ektelo and Tumult Analytics, and evaluate the experience for a data practitioner at each step of designing a differentially private statistical release with each of these tools. In Ektelo, we asses the privacy versus utility trade-off for 5 algorithms (Identity, H2, HB, GreedyH, and DAWA) and provide examples of context-specific utility functions and post-processing techniques for the Internet measurement data.

Name thesis:degree_name

Master

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

2023

Author dc:creator

• Meles, Amelia

Advisors dc:contributor.advisor

• Clark, David D.
• Chaganti, Vasanta

Statement dc:rights

• In Copyright - Educational Use Permitted
• Copyright retained by author(s)

Licence dc:rights.uri

• https://rightsstatements.org/page/InC-EDU/1.0/

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/151454

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/151454