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Cited by 745

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

Keystroke dynamics as a biometric for authentication

Open access
Monrose, Fabian, Rubin, Aviel D.·2000·Future Generation Computer Systems

Abstract

More than ever before the Internet is changing computing as we know it. Global access to information and resources is becoming an integral part of nearly every aspect of our lives. Unfortunately, with this global network access comes increased chances of malicious attack and intrusion. In an effort to confront the new threats unveiled by the networking revolution of the past few years reliable, rapid, and unintrusive means for automatically recognizing the identity of individuals are now being sought. In this paper we examine an emerging non-static biometric technique that aims to identify users based on analyzing habitual rhythm patterns in the way they type.

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Crossref · 10.1016/s0167-739x(99)00059-x

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Metadata

Authors
Monrose, F., & Rubin, A. D.
Venue
Future Generation Computer Systems
Publisher
Elsevier BV
Published
2000-02
Volume
16
Issue
4
Pages
351-359
ISSN
0167-739X (ISSN-L)
OpenAlex
W2157245832
Cited by
745
References
18
FWCI
9.82
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Keystroke dynamics as a biometric for authentication. https://app.cochat.ai/papers/10.1016/s0167-739x(99)00059-x
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Monrose, F., & Rubin, A. D. (2000). Keystroke dynamics as a biometric for authentication. Future Generation Computer Systems. https://doi.org/10.1016/s0167-739x(99)00059-x

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.