{"title":"智能手机密码预测","authors":"Tao Chen, Michael Farcasin, Eric Chan-Tin","doi":"10.1049/iet-ifs.2017.0606","DOIUrl":null,"url":null,"abstract":"Many people now own smartphones and store all their documents such as pictures and financial statements on their phone. To protect this sensitive information, people generally use a passcode to prevent unauthorised access to their phone. Shoulder-surfing attacks are well known. However, contrary to common belief, they are not easy to carry out. Shoulder-surfing attacks to predict the passcode by humans are shown to not be accurate. The authors thus propose an automated algorithm to accurately predict the passcode entered by a victim on her smartphone by recording the video. Their proposed algorithm is able to predict over 92% of numbers entered in fewer than 75 s with training performed once.","PeriodicalId":13305,"journal":{"name":"IET Inf. Secur.","volume":"6 1","pages":"431-437"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Smartphone passcode prediction\",\"authors\":\"Tao Chen, Michael Farcasin, Eric Chan-Tin\",\"doi\":\"10.1049/iet-ifs.2017.0606\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many people now own smartphones and store all their documents such as pictures and financial statements on their phone. To protect this sensitive information, people generally use a passcode to prevent unauthorised access to their phone. Shoulder-surfing attacks are well known. However, contrary to common belief, they are not easy to carry out. Shoulder-surfing attacks to predict the passcode by humans are shown to not be accurate. The authors thus propose an automated algorithm to accurately predict the passcode entered by a victim on her smartphone by recording the video. Their proposed algorithm is able to predict over 92% of numbers entered in fewer than 75 s with training performed once.\",\"PeriodicalId\":13305,\"journal\":{\"name\":\"IET Inf. Secur.\",\"volume\":\"6 1\",\"pages\":\"431-437\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IET Inf. Secur.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1049/iet-ifs.2017.0606\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Inf. Secur.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1049/iet-ifs.2017.0606","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Many people now own smartphones and store all their documents such as pictures and financial statements on their phone. To protect this sensitive information, people generally use a passcode to prevent unauthorised access to their phone. Shoulder-surfing attacks are well known. However, contrary to common belief, they are not easy to carry out. Shoulder-surfing attacks to predict the passcode by humans are shown to not be accurate. The authors thus propose an automated algorithm to accurately predict the passcode entered by a victim on her smartphone by recording the video. Their proposed algorithm is able to predict over 92% of numbers entered in fewer than 75 s with training performed once.