Please use this identifier to cite or link to this item:
http://arks.princeton.edu/ark:/88435/dsp01vq27zn600Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Felten, Edward | - |
| dc.contributor.author | Lee, Jae Young | - |
| dc.date.accessioned | 2014-07-17T19:23:37Z | - |
| dc.date.available | 2014-07-17T19:23:37Z | - |
| dc.date.created | 2014-05 | - |
| dc.date.issued | 2014-07-17 | - |
| dc.identifier.uri | http://arks.princeton.edu/ark:/88435/dsp01vq27zn600 | - |
| dc.description.abstract | I briefly discuss online privacy in relation to cookie-based tracking and targeted advertising in order to introduce the idea of fingerprinting. I look at the mathematics behind fingerprinting before introducing some basic fingerprinting code that I have implemented. I go into detail about Fight Fingerprinting, a browser extension I have built that aims to detect and reduce the threat of fingerprinting. I discuss some of the related work done in the area of fingerprinting and consider some other solutions that are out there. | en_US |
| dc.format.extent | 29 pages | en_US |
| dc.language.iso | en_US | en_US |
| dc.title | Device Fingerprinting: An Emerging Threat to Online Privacy | en_US |
| dc.type | Princeton University Senior Theses | - |
| pu.date.classyear | 2014 | en_US |
| pu.department | Computer Science | en_US |
| pu.pdf.coverpage | SeniorThesisCoverPage | - |
| Appears in Collections: | Computer Science, 1988-2020 | |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| Lee_JaeYoung_Thesis_2014.pdf | 957.59 kB | Adobe PDF | Request a copy |
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