An implicit author verification system for text messages based on gesture typing biometrics

Burgbacher Ulrich, Hinrichs Klaus

Forschungsartikel in Sammelband (Konferenz) | Peer reviewed

Zusammenfassung

Gesture typing is a popular text input method used on smartphones. Gesture keyboards are based on word gestures that subsequently trace all letters of a word on a virtual keyboard. Instead of tapping a word key by key, the user enters a word gesture with a single continuous stroke. In this paper, we introduce an implicit user verification approach for short text messages that are entered with a gesture keyboard. We utilize the way people interact with gesture keyboards to extract behavioral biometric features. We propose a proof-of-concept classification framework that learns the gesture typing behavior of a person and is able to decide whether a gestured message was written by the legitimate user or an imposter. Data collected from gesture keyboard users in a user study is used to assess the performance of the classification framework, demonstrating that the technique has considerable promise.

Details zur Publikation

Seitenbereich2951-2954
VerlagACM Press
StatusVeröffentlicht
Veröffentlichungsjahr2014
Sprache, in der die Publikation verfasst istEnglisch
Konferenz32nd Annual ACM Conference on Human Factors in Computing Systems (CHI 2014), Toronto, ON, Canada
ISBN9781450324731
StichwörterBehavioral biometrics; Gesture keyboards; Implicit authentication; Mobile phone security

Autor*innen der Universität Münster

Burgbacher, Ulrich
Hinrichs, Klaus