SapiPin: Observations on PIN-code typing dynamics

In this paper, we report on PIN-code typing behaviour on touchscreen devices of 112 subjects. Detailed statistical analysis revealed that the major di erence between subjects is in inter-key latency. Key-press duration variations are insignificant compared to inter-key latency variations. Subjects w...

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Main Authors: Antal Margit, Buza Krisztián
Format: Article
Language:English
Published: Scientia Publishing House 2023-08-01
Series:Acta Universitatis Sapientiae: Informatica
Subjects:
Online Access:https://doi.org/10.2478/ausi-2023-0002
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author Antal Margit
Buza Krisztián
author_facet Antal Margit
Buza Krisztián
author_sort Antal Margit
collection DOAJ
description In this paper, we report on PIN-code typing behaviour on touchscreen devices of 112 subjects. Detailed statistical analysis revealed that the major di erence between subjects is in inter-key latency. Key-press duration variations are insignificant compared to inter-key latency variations. Subjects were grouped into meaningful clusters using clustering. The resulting clusters were of slow, medium, and fast typists. The dataset was split randomly into two equal size subsets. The first subset was used to train different synthetic data generators, while the second subset was used to evaluate an authentication attack using the generated synthetic data. The evaluation showed that slow typists were the hardest to attack. Both the dataset and the software are publicly available at https://github.com/margitantal68/sapipin_paper.
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spelling doaj.art-b4209d9d7a874f0ca6f511ec255a14152024-08-02T21:59:11ZengScientia Publishing HouseActa Universitatis Sapientiae: Informatica2066-77602023-08-01151102410.2478/ausi-2023-0002SapiPin: Observations on PIN-code typing dynamicsAntal Margit0Buza Krisztián11Sapientia Hungarian University of Transylvania, Cluj-Napoca, Romania2Jozef Stefan Institute, Ljubljana, SloveniaIn this paper, we report on PIN-code typing behaviour on touchscreen devices of 112 subjects. Detailed statistical analysis revealed that the major di erence between subjects is in inter-key latency. Key-press duration variations are insignificant compared to inter-key latency variations. Subjects were grouped into meaningful clusters using clustering. The resulting clusters were of slow, medium, and fast typists. The dataset was split randomly into two equal size subsets. The first subset was used to train different synthetic data generators, while the second subset was used to evaluate an authentication attack using the generated synthetic data. The evaluation showed that slow typists were the hardest to attack. Both the dataset and the software are publicly available at https://github.com/margitantal68/sapipin_paper.https://doi.org/10.2478/ausi-2023-0002keystroke dynamicspin-codesynthetic attackanomaly detection
spellingShingle Antal Margit
Buza Krisztián
SapiPin: Observations on PIN-code typing dynamics
Acta Universitatis Sapientiae: Informatica
keystroke dynamics
pin-code
synthetic attack
anomaly detection
title SapiPin: Observations on PIN-code typing dynamics
title_full SapiPin: Observations on PIN-code typing dynamics
title_fullStr SapiPin: Observations on PIN-code typing dynamics
title_full_unstemmed SapiPin: Observations on PIN-code typing dynamics
title_short SapiPin: Observations on PIN-code typing dynamics
title_sort sapipin observations on pin code typing dynamics
topic keystroke dynamics
pin-code
synthetic attack
anomaly detection
url https://doi.org/10.2478/ausi-2023-0002
work_keys_str_mv AT antalmargit sapipinobservationsonpincodetypingdynamics
AT buzakrisztian sapipinobservationsonpincodetypingdynamics