{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T10:07:09Z","timestamp":1761646029613,"version":"3.41.2"},"reference-count":19,"publisher":"Emerald","issue":"2","license":[{"start":{"date-parts":[[2014,6,3]],"date-time":"2014-06-03T00:00:00Z","timestamp":1401753600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,6,3]]},"abstract":"\n Purpose<\/jats:title>\n \u2013 This paper aims to design a compact scheme of behavioural biometric-based user authentication, develop an adaptive mechanism that selects an appropriate classifier in an adaptive way and conduct a study to explore the effect of this mechanism. <\/jats:p>\n <\/jats:sec>\n \n Design\/methodology\/approach<\/jats:title>\n \u2013 As a study, the proposed adaptive mechanism was implemented using a cost-based metric, which enables mobile phones to adopt a less costly classifier in an adaptive way to build the user normal-behaviour model and detect behavioural anomalies. <\/jats:p>\n <\/jats:sec>\n \n Findings<\/jats:title>\n \u2013 The user study with 50 participants indicates that our proposed mechanism can positively affect the authentication performance by maintaining the authentication accuracy at a relatively high and stable level. <\/jats:p>\n <\/jats:sec>\n \n Research limitations\/implications<\/jats:title>\n \u2013 The authentication accuracy can be further improved by incorporating other appropriate classifiers (e.g. neural networks) and considering other touch-gesture-related features (e.g. the speed of a touch). <\/jats:p>\n <\/jats:sec>\n \n Practical implications<\/jats:title>\n \u2013 This work explores the effect of adaptive mechanism on behavioural biometric-based user authentication. The results should be of interest for software developers and security specialists in deciding whether to implement such a mechanism for enhancing authentication performance on mobile phones. <\/jats:p>\n <\/jats:sec>\n \n Originality\/value<\/jats:title>\n \u2013 The user study with 50 participants indicates that this mechanism can positively affect the authentication performance by maintaining the authentication accuracy at a relatively high and stable level. To the best of our knowledge, our work is an early work discussing the implementation of an adaptive mechanism on a mobile phone.<\/jats:p>\n <\/jats:sec>","DOI":"10.1108\/imcs-09-2013-0062","type":"journal-article","created":{"date-parts":[[2014,6,19]],"date-time":"2014-06-19T23:10:25Z","timestamp":1403219425000},"page":"155-166","source":"Crossref","is-referenced-by-count":15,"title":["The effect of adaptive mechanism on behavioural biometric based mobile phone authentication"],"prefix":"10.1108","volume":"22","author":[{"given":"Weizhi","family":"Meng","sequence":"first","affiliation":[]},{"given":"Duncan","family":"S. 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