STATION: Gesture-Based Authentication for Voice Interfaces
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, Sungbin | - |
dc.contributor.author | Wang, Xueqiang | - |
dc.contributor.author | Chen, Kai | - |
dc.contributor.author | Lee, Yeonjoon | - |
dc.date.accessioned | 2024-05-02T00:00:32Z | - |
dc.date.available | 2024-05-02T00:00:32Z | - |
dc.date.issued | 2024-06 | - |
dc.identifier.issn | 2327-4662 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/118912 | - |
dc.description.abstract | The popularity of smart home devices has led to an increase in security incidents happening in smart homes. A key measure to avoid such incidents is to authenticate users before they can interact with smart devices. However, current methods often require additional hardware. This paper proposes, a gesture-based authentication system, an effective gesture-based authentication method built on top of the voice interfaces already available in these smart home devices, without adding new hardware. uses a gesture processing pipeline that identifies Doppler-existing frames and detects the Direction of Arrival of Reflection to authenticate users in low SNR environments and at longer distances. Furthermore, regarding the nature of gesture-based authentication, this system also supports detecting user liveness, preventing replay and synthesis attacks from remote attackers. The evaluation of shows high accuracy with a False Accept Rate (FAR) of 0.08% and False Reject Rate (FRR) of 3.10% for users within 1.5m of the device. | - |
dc.format.extent | 16 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | STATION: Gesture-Based Authentication for Voice Interfaces | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.1109/JIOT.2024.3382721 | - |
dc.identifier.scopusid | 2-s2.0-85189154387 | - |
dc.identifier.wosid | 001242362600140 | - |
dc.identifier.bibliographicCitation | IEEE Internet of Things Journal, v.11, no.12, pp 1 - 16 | - |
dc.citation.title | IEEE Internet of Things Journal | - |
dc.citation.volume | 11 | - |
dc.citation.number | 12 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 16 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.subject.keywordAuthor | Security and Privacy | - |
dc.subject.keywordAuthor | Device Security | - |
dc.subject.keywordAuthor | Low cost Sensors and Devices | - |
dc.subject.keywordAuthor | Sensor Signal Processing | - |
dc.subject.keywordAuthor | Gesture-based Authentication | - |
dc.subject.keywordAuthor | Acoustic Sensing | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/10485205 | - |
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