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Covert lie detection using keyboard dynamics.

ABSTRACT: Identifying the true identity of a subject in the absence of external verification criteria (documents, DNA, fingerprints, etc.) is an unresolved issue. Here, we report an experiment on the verification of fake identities, identified by means of their specific keystroke dynamics as analysed in their written response using a computer keyboard. Results indicate that keystroke analysis can distinguish liars from truth tellers with a high degree of accuracy - around 95% - thanks to the use of unexpected questions that efficiently facilitate the emergence of deception clues.

SUBMITTER: Monaro M

PROVIDER: S-EPMC5792443 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature

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Covert lie detection using keyboard dynamics.

Monaro Merylin M Galante Chiara C Spolaor Riccardo R Li Qian Qian QQ Gamberini Luciano L Conti Mauro M Sartori Giuseppe G

Scientific reports 20180131 1

Identifying the true identity of a subject in the absence of external verification criteria (documents, DNA, fingerprints, etc.) is an unresolved issue. Here, we report an experiment on the verification of fake identities, identified by means of their specific keystroke dynamics as analysed in their written response using a computer keyboard. Results indicate that keystroke analysis can distinguish liars from truth tellers with a high degree of accuracy - around 95% - thanks to the use of unexpe ...[more]

PMID: 29386583

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