Verifying identity via keystroke characteristics
International Journal of Man-Machine Studies
Identity authentication based on keystroke latencies
Communications of the ACM
Computer-Access Security Systems Using Keystroke Dynamics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dynamic identity verification via keystroke characteristics
International Journal of Man-Machine Studies
User identification via keystroke characteristics of typed names using neural networks
International Journal of Man-Machine Studies
A simulation evaluation study of neural network techniques to computer user identification
Information Sciences: an International Journal
Applications of keystroke analysis for improved login security and continuous user authentication
Information systems security
Authentication via keystroke dynamics
Proceedings of the 4th ACM conference on Computer and communications security
Towards adaptive Web sites: conceptual framework and case study
Artificial Intelligence - Special issue on Intelligent internet systems
Biometrics: advanced identity verification
Biometrics: advanced identity verification
The base-rate fallacy and the difficulty of intrusion detection
ACM Transactions on Information and System Security (TISSEC)
User authentication through keystroke dynamics
ACM Transactions on Information and System Security (TISSEC)
Keystroke Analysis as a Method of Advanced User Authentication and Response
SEC '02 Proceedings of the IFIP TC11 17th International Conference on Information Security: Visions and Perspectives
Intrusion Detection through Behavioral Data
IDA '99 Proceedings of the Third International Symposium on Advances in Intelligent Data Analysis
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Identity verification through dynamic keystroke analysis
Intelligent Data Analysis
Identifying emotional states using keystroke dynamics
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Keystroke forensics: are you typing on a desktop or a laptop?
Proceedings of the 6th Balkan Conference in Informatics
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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.