| dc.contributor.advisor | Clark, David D. | |
| dc.contributor.advisor | Chaganti, Vasanta | |
| dc.contributor.author | Meles, Amelia | |
| dc.date.accessioned | 2023-07-31T19:41:00Z | |
| dc.date.available | 2023-07-31T19:41:00Z | |
| dc.date.issued | 2023-06 | |
| dc.date.submitted | 2023-06-06T16:35:43.859Z | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/151454 | |
| dc.description.abstract | 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. | |
| dc.publisher | Massachusetts Institute of Technology | |
| dc.rights | In Copyright - Educational Use Permitted | |
| dc.rights | Copyright retained by author(s) | |
| dc.rights.uri | https://rightsstatements.org/page/InC-EDU/1.0/ | |
| dc.title | Case Studies in Differential Privacy for Computer
Networking Research | |
| dc.type | Thesis | |
| dc.description.degree | M.Eng. | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| mit.thesis.degree | Master | |
| thesis.degree.name | Master of Engineering in Electrical Engineering and Computer Science | |
