C. Tietz, Eric Klieme, Lukas Behrendt, Pawel Böning, Leonard Marschke, C. Meinel
{"title":"基于WebRTC的笔记本电脑和智能手机键盘声学认证验证","authors":"C. Tietz, Eric Klieme, Lukas Behrendt, Pawel Böning, Leonard Marschke, C. Meinel","doi":"10.1109/CSNet47905.2019.9108962","DOIUrl":null,"url":null,"abstract":"This paper evaluates authentication based on sounds emitted while typing on a laptop’s keyboard only with the help of the integrated microphones and a smartphone placed nearby. The sound samples of 26 individuals were recorded in a novel real-world scenario using only web technologies. The data of laptop and the smartphone was compared based on existing approaches. They can reach Equal-Error-Rates (EERs) of 11.2% on the laptop data and 9.3% on the smartphone data.","PeriodicalId":350566,"journal":{"name":"2019 3rd Cyber Security in Networking Conference (CSNet)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Verification of Keyboard Acoustics Authentication on Laptops and Smartphones Using WebRTC\",\"authors\":\"C. Tietz, Eric Klieme, Lukas Behrendt, Pawel Böning, Leonard Marschke, C. Meinel\",\"doi\":\"10.1109/CSNet47905.2019.9108962\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper evaluates authentication based on sounds emitted while typing on a laptop’s keyboard only with the help of the integrated microphones and a smartphone placed nearby. The sound samples of 26 individuals were recorded in a novel real-world scenario using only web technologies. The data of laptop and the smartphone was compared based on existing approaches. They can reach Equal-Error-Rates (EERs) of 11.2% on the laptop data and 9.3% on the smartphone data.\",\"PeriodicalId\":350566,\"journal\":{\"name\":\"2019 3rd Cyber Security in Networking Conference (CSNet)\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 3rd Cyber Security in Networking Conference (CSNet)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSNet47905.2019.9108962\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 3rd Cyber Security in Networking Conference (CSNet)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSNet47905.2019.9108962","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Verification of Keyboard Acoustics Authentication on Laptops and Smartphones Using WebRTC
This paper evaluates authentication based on sounds emitted while typing on a laptop’s keyboard only with the help of the integrated microphones and a smartphone placed nearby. The sound samples of 26 individuals were recorded in a novel real-world scenario using only web technologies. The data of laptop and the smartphone was compared based on existing approaches. They can reach Equal-Error-Rates (EERs) of 11.2% on the laptop data and 9.3% on the smartphone data.