Keystroke analysis of different languages: A case study

Daniele Gunetti, Claudia Picardi, Giancarlo Ruffo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Typing rhythms are one of the rawest form of data stemming from the interaction between humans and computers. When properly analyzed, they may allow to ascertain personal identity, In this paper we provide experimental evidence that the typing dynamics of free text can be used for user identification and authentication even when typing samples are written in different languages, As a consequence, we argue that keystroke analysis can be useful even when people may use different languages, in those areas where ascertaining personal identity is important or crucial, such as within Computer Security.

Original languageEnglish
Title of host publicationAdvances in Intelligent Data Analysis VI - 6th International Symposium on Intelligent Data Analysis, IDA 2005, Proceedings
PublisherSpringer Verlag
Pages133-144
Number of pages12
ISBN (Print)3540287957, 9783540287957
DOIs
Publication statusPublished - 2005
Externally publishedYes
Event6th International Symposium on Intelligent Data Analysis, IDA 2005 - Madrid, Spain
Duration: 8 Sept 200510 Sept 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3646 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Symposium on Intelligent Data Analysis, IDA 2005
Country/TerritorySpain
CityMadrid
Period8/09/0510/09/05

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