{"title":"Towards Building a Remote Anti-spoofing Face Authentication System","authors":"Chien Eao Lee, Lilei Zheng, Ying Zhang, V. Thing, Ying Yu Chu","doi":"10.1109/TENCON.2018.8650440","DOIUrl":null,"url":null,"abstract":"The ability to offer remote access to services or data through various platforms has become a public expectation of many applications and systems nowadays. Recently, we can see the growth in trend where wide range of service providers offer the option to use biometric as a form of authentication, replacing conventional password system. While we gradually migrate towards such authentication method, it is important not to overlook the vulnerabilities of such systems to spoof attack. In fact, spoof attack must be prevented as a mandatory prerequisite in all biometric systems. In this paper, we present a systematic approach for face authentication that incorporates state-of-the-art liveness detection and face verification algorithms to safeguard a system against such attack. We explore and examine the feasibility of the application of such approach on generic devices and systems without incurring hardware dependencies or requiring extensive user-cooperation.","PeriodicalId":132900,"journal":{"name":"TENCON 2018 - 2018 IEEE Region 10 Conference","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"TENCON 2018 - 2018 IEEE Region 10 Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TENCON.2018.8650440","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The ability to offer remote access to services or data through various platforms has become a public expectation of many applications and systems nowadays. Recently, we can see the growth in trend where wide range of service providers offer the option to use biometric as a form of authentication, replacing conventional password system. While we gradually migrate towards such authentication method, it is important not to overlook the vulnerabilities of such systems to spoof attack. In fact, spoof attack must be prevented as a mandatory prerequisite in all biometric systems. In this paper, we present a systematic approach for face authentication that incorporates state-of-the-art liveness detection and face verification algorithms to safeguard a system against such attack. We explore and examine the feasibility of the application of such approach on generic devices and systems without incurring hardware dependencies or requiring extensive user-cooperation.