{"title":"为前所未有的设备提供基于上下文的安全配对","authors":"Ngu Nguyen, S. Sigg","doi":"10.1109/PERCOMW.2018.8480126","DOIUrl":null,"url":null,"abstract":"We introduce context-based pairing protocols that integrate into common distributed device encryption schemes for device management and access control. In particular, we suggest three pairing protocols that integrate implicit proximity-based device pairing to increase convenience and security. From these protocols, we implemented a secure device pairing approach conditioned on natural, unconstrained spoken interaction in a smart environment. In particular, our approach exploits speech recognition to identify devices to pair from free-form spoken interaction and restricts the pairing to the right device in proximity by generating secure keys from audio fingerprints of the same spoken interaction.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Secure Context-based Pairing for Unprecedented Devices\",\"authors\":\"Ngu Nguyen, S. Sigg\",\"doi\":\"10.1109/PERCOMW.2018.8480126\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We introduce context-based pairing protocols that integrate into common distributed device encryption schemes for device management and access control. In particular, we suggest three pairing protocols that integrate implicit proximity-based device pairing to increase convenience and security. From these protocols, we implemented a secure device pairing approach conditioned on natural, unconstrained spoken interaction in a smart environment. In particular, our approach exploits speech recognition to identify devices to pair from free-form spoken interaction and restricts the pairing to the right device in proximity by generating secure keys from audio fingerprints of the same spoken interaction.\",\"PeriodicalId\":190096,\"journal\":{\"name\":\"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PERCOMW.2018.8480126\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PERCOMW.2018.8480126","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Secure Context-based Pairing for Unprecedented Devices
We introduce context-based pairing protocols that integrate into common distributed device encryption schemes for device management and access control. In particular, we suggest three pairing protocols that integrate implicit proximity-based device pairing to increase convenience and security. From these protocols, we implemented a secure device pairing approach conditioned on natural, unconstrained spoken interaction in a smart environment. In particular, our approach exploits speech recognition to identify devices to pair from free-form spoken interaction and restricts the pairing to the right device in proximity by generating secure keys from audio fingerprints of the same spoken interaction.