TitleUser authentication from Web browsing behavior
Publication TypeConference Paper
Year of Publication2013
AuthorsAbramson, M, Aha, DW
Conference NameFlorida Artificial Intelligence Research Society Conference
PublisherAAAI Press
Conference LocationSt. Pete Beach, FL
Keywordsauthentication, Behavioral web analysis, machine learning
Abstract

As anticipated in True Names by Vernor Vinge, identity has
been recognized as our most valued possession in cyberspace.
Attribution is a key concept in enabling trusted identities and
deterring malicious activities. As more people use theWeb to
communicate, work, and otherwise have fun, is it possible to
uniquely identify someone based on their Web browsing behavior
or to differentiate between two persons based solely on
their Web browsing histories? Based on a user study, this paper
provides some insights into these questions. We describe
characteristic features of Web browsing behavior and present
our algorithm and analysis of an ensemble learning approach
leveraging from those features for user authentication.

Refereed DesignationRefereed
Full Text
NRL Publication Release Number: 
12-121-4465
pub_tags: 
Behavioral web analysis
machine learning
authentication