BibTeX
CSL-JSON
MLA
Harvard
Improving BrowserWatermarking with Eye Tracking
release_hwhi4ajptnchlfs7t6uzzhks7m
by
Nikolai-Iraj Sanamrad
Published
in figshare.com by figshare.
2021
Abstract
The easiest and most accessible method for fingerprinting used by online services is browser fingerprinting. Browser fingerprinting distinguishes between user devices using information about the browser and the system, which is usually provided by most browsers to any website, even when cookies are turned o?ff. This data is usually unique enough even for identical devices, since it heavily relies on device usage by the user. In this paper, browser fingerprinting is being improved with the usage of information<br>acquired from an eye tracker
In text/plain
format
Archived Files and Locations
application/pdf 3.9 MB
file_khmpzz2ljzaobdbrjvwgyo3aia
|
s3-eu-west-1.amazonaws.com (publisher) web.archive.org (webarchive) |
Read Archived PDF
Preserved and Accessible
Type
Stage
Date 2021-02-19
Version
article-journal
Stage
published
Date 2021-02-19
Version
v3
Work Entity
access all versions, variants, and formats of this works (eg, pre-prints)
access all versions, variants, and formats of this works (eg, pre-prints)
Cite This
Lookup Links
oaDOI/unpaywall (OA fulltext)
Datacite Metadata (via API)
Worldcat
wikidata.org
CORE.ac.uk
Semantic Scholar
Google Scholar
Datacite Metadata (via API)
Worldcat
wikidata.org
CORE.ac.uk
Semantic Scholar
Google Scholar