| Title | Inhibiting Browser Fingerprinting and Tracking |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Luangmaneerote, S., Zaluska, E., Carr, L. |
| Conference Name | 2017 ieee 3rd international conference on big data security on cloud (bigdatasecurity), ieee international conference on high performance and smart computing (hpsc), and ieee international conference on intelligent data and security (ids) |
| Date Published | may |
| Keywords | Browser Fingerprinting, browser fingerprinting identification, browser tracking, Browsers, data privacy, fingerprint identification, Fingerprint recognition, Fingerprinting Countermeasure, Human Behavior, Internet, Metrics, online front-ends, privacy, pubcrawl, Resiliency, side-effects, user browser experience, user computer, user privacy, Web browser, Web Browser Security, Web pages, Web servers, Web sites, Web Tracking |
| Abstract | This paper discusses possible approaches to address the loss of user privacy when browsing the web and being tracked by websites which compute a browser fingerprint identifying the user computer. The key problem is that the current fingerprinting countermeasures are insufficient to prevent fingerprinting tracking and also frequently produce side-effects on the web browser. The advantages and disadvantages of possible countermeasures are discussed in the context of improving resistance against browser fingerprinting. Finally, using a new browser extension is proposed as the best way to inhibit fingerprinting as it could probably inhibit some of the fingerprinting techniques used and also diminish the side-effects on the user browser experience, compared with existing techniques. |
| DOI | 10.1109/BigDataSecurity.2017.40 |
| Citation Key | luangmaneerote_inhibiting_2017 |
Inhibiting Browser Fingerprinting and Tracking