{"title":"G-Key: An Authentication Technique for Mobile Devices Based on Gravity Sensors *","authors":"Linjiang Xie, Hequn Xian, Xuyue Tang, Wei Guo, Feilu Hang, N. Fang","doi":"10.1109/ICPDS47662.2019.9017188","DOIUrl":null,"url":null,"abstract":"User authentication is an essential issue of information security and privacy protection in mobile device based applications. Traditional password authentication causes a heavy memory burden. Biometric authentication on mobile devices are confronted with privacy issues and risks of information disclosure. Based on the characteristics of the built-in sensors of mobile devices, we propose G-key, a novel authentication method. Primitive postures are defined, which can be identified by reading of gravity sensors of the device. A G-key recognition algorithm is designed, in which parameters can be adjusted to achieve balance between accuracy and efficiency. Users can arbitrarily define a private gesture key from posture combinations as their authentication basis. Compared with biometric authentication and password-based authentication, the authentication process of G-Key is more private. It does not require storing sensitive biological information of individuals, and no memory burden is involved. We implement G-Key in the Android platform, and experiments show that it works with high accuracy.","PeriodicalId":130202,"journal":{"name":"2019 IEEE International Conference on Power Data Science (ICPDS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Power Data Science (ICPDS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPDS47662.2019.9017188","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
User authentication is an essential issue of information security and privacy protection in mobile device based applications. Traditional password authentication causes a heavy memory burden. Biometric authentication on mobile devices are confronted with privacy issues and risks of information disclosure. Based on the characteristics of the built-in sensors of mobile devices, we propose G-key, a novel authentication method. Primitive postures are defined, which can be identified by reading of gravity sensors of the device. A G-key recognition algorithm is designed, in which parameters can be adjusted to achieve balance between accuracy and efficiency. Users can arbitrarily define a private gesture key from posture combinations as their authentication basis. Compared with biometric authentication and password-based authentication, the authentication process of G-Key is more private. It does not require storing sensitive biological information of individuals, and no memory burden is involved. We implement G-Key in the Android platform, and experiments show that it works with high accuracy.