Publication | Open Access
Covert lie detection using keyboard dynamics
46
Citations
20
References
2018
Year
EngineeringDigital IdentityInformation SecurityBiometricsVerificationInformation ForensicsKeyboard DynamicsCommunicationExternal Verification CriteriaPattern RecognitionConversation AnalysisPost-truthTrue IdentityData HidingCognitive ScienceIdentity-based SecurityComputer ScienceFake IdentitiesCovert ChannelSignal ProcessingData SecurityCryptographySteganographySpeech ProcessingArtsDeception Detection
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.
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