Behavior Based Web User Identification

  • This paper examines different approaches for the identification of users by their personal behavior and discusses techniques which could be used in the context of websites. Such web tracking approaches have the potential to identify users even if they use multiple or shared devices. For web pages mouse and touch input are widely used. Therefore, we propose a survey to evaluate the feasibility to identify users by their interaction behavior.

Export metadata

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Christian Schäff, Gaston Pugliese, Timo GötzelmannORCiD
ISBN:978-3-88579-447-9
ISSN:1614-3213
Parent Title (English):GI-Edition / Seminars
Publisher:KöllenDruck+Verlag
Place of publication:Bonn
Document Type:conference proceeding (article)
Language:English
Date of Publication (online):2014/10/31
Year of first Publication:2014
Release Date:2015/01/20
Tag:Biometric; Interaction; User identification; User input; Web tracking
GND Keyword:Authentifikation; Web-Seite; Mensch-Maschine-Kommunikation
Volume:Volume S-13
Pagenumber:201-204
Note:
Volltext verfügbar in der Zentralbibliothek in: 
Gesellschaft für Informatik GI-Edition: Informatiktage 2014. ISBN  978-3-88579-447-9. 
Signatur: 001/SQ 1200-2014+1
Konferenzangabe:Informatiktage 2014: Big (Data) is beautiful
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke