Touch gesture data based authentication method for smartphone users
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, JunGyu | - |
dc.contributor.author | Kim, TaeGuen | - |
dc.contributor.author | Im, Eul Gyu. | - |
dc.date.accessioned | 2022-07-15T05:33:50Z | - |
dc.date.available | 2022-07-15T05:33:50Z | - |
dc.date.created | 2021-05-13 | - |
dc.date.issued | 2016-10 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/153828 | - |
dc.description.abstract | Among all the security technologies of smartphones, biometrics authentication technologies are on the rise to provide higher reliability and security. However, existing biometric authentication methods, such as fingerprints and voice recognition have some drawbacks. For example, many biometric authentication methods require special devices to collect biometric features. This paper proposes an authentication method based on inputs from the touchscreen of a smartphone. Our proposed authentication system uses 48 features from the touch gestures to authenticate the owner of a smartphone. We tested our proposed system and its EER was about 0.7%, and we claim that our system can be effective to authenticate smartphone owners. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Association for Computing Machinery, Inc | - |
dc.title | Touch gesture data based authentication method for smartphone users | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Im, Eul Gyu. | - |
dc.identifier.doi | 10.1145/2987386.2987410 | - |
dc.identifier.scopusid | 2-s2.0-85006758411 | - |
dc.identifier.bibliographicCitation | Proceedings of the 2016 Research in Adaptive and Convergent Systems, RACS 2016, pp.136 - 141 | - |
dc.relation.isPartOf | Proceedings of the 2016 Research in Adaptive and Convergent Systems, RACS 2016 | - |
dc.citation.title | Proceedings of the 2016 Research in Adaptive and Convergent Systems, RACS 2016 | - |
dc.citation.startPage | 136 | - |
dc.citation.endPage | 141 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Biometrics | - |
dc.subject.keywordPlus | Mobile security | - |
dc.subject.keywordPlus | Pattern recognition | - |
dc.subject.keywordPlus | Signal encoding | - |
dc.subject.keywordPlus | Smartphones | - |
dc.subject.keywordPlus | Authentication methods | - |
dc.subject.keywordPlus | Authentication systems | - |
dc.subject.keywordPlus | Biometric authentication | - |
dc.subject.keywordPlus | Biometrics authentication | - |
dc.subject.keywordPlus | Security and usabilities | - |
dc.subject.keywordPlus | Security technology | - |
dc.subject.keywordPlus | Soft biometrics | - |
dc.subject.keywordPlus | User authentication | - |
dc.subject.keywordPlus | Authentication | - |
dc.subject.keywordAuthor | Mobile security and usability | - |
dc.subject.keywordAuthor | Soft biometrics | - |
dc.subject.keywordAuthor | Touch dynamics | - |
dc.subject.keywordAuthor | User authentication | - |
dc.identifier.url | https://dl.acm.org/doi/10.1145/2987386.2987410 | - |
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