Repetition and Template Generalisability for Instance-Based Keystroke Biometric Systems

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Keystroke timings can be used as a behavioural biometric, enabling passive and non-intrusive authentication. Fixed-text keystroke biometric systems involve the acquisition of keypress timings when typing a single phrase. They can be used in conjunction with a standard password authentication system to provide an increased level of security. Design decisions need to be made regarding the different technical aspects (e.g., feature sets, matching mechanism, etc.) of the system and there is a wealth of literature to guide this process. However, there is an absence of knowledge available when it comes to understanding how repetitions in user samples and characteristics of the password provided over an extended timeline can impact the system's accuracy. In this paper, timings are collected from 65 participants, who are required to type the same passwords 4 times per week for 8 weeks, yielding a total of 81,920 timing datasets. A systematic analysis is then performed for each of the 8 weeks, following the same template creation and matching process, to gain an understanding of which week's timings produce more generalised templates, providing a lower Equal Error Rate when matched against samples from all weeks.
Original languageEnglish
Title of host publication2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence, CCAI 2023
PublisherIEEE
Pages272-277
Number of pages6
ISBN (Electronic)9798350335262, 9798350335255
ISBN (Print)9798350335279
DOIs
Publication statusPublished - 3 Aug 2023
Event3rd International Conference on Computer Communication and Artificial Intelligence - Taiyuan University of Technology, Taiyuan, China
Duration: 26 May 202328 May 2023
Conference number: 3
https://www.aconf.org/conf_187029.html

Conference

Conference3rd International Conference on Computer Communication and Artificial Intelligence
Abbreviated titleCCAI 2023
Country/TerritoryChina
CityTaiyuan
Period26/05/2328/05/23
Internet address

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