{"title":"EyeVEIL","authors":"Brendan David-John, S. Koppal, Eakta Jain","doi":"10.1145/3314111.3319816","DOIUrl":null,"url":null,"abstract":"Mixed reality headsets are being designed with integrated eye trackers: cameras that image the user's eye to infer gaze location and pupil diameter. While the intent is to improve the quality of experience, built-in eye trackers create a security vulnerability for hackers - high resolution images of the user's iris. Anyone stealing an iris image has effectively captured a gold standard biometric, relied on for secure authentication in applications such as banking and voting. We present a low cost solution to degrade iris authentication while still permitting the utility of gaze tracking with acceptable accuracy. By demonstrating this solution on a commodity eye tracker, this paper urges the community to think about iris based authentication as a byproduct of eye tracking, and create solutions that empower a user to control this biometric.","PeriodicalId":161901,"journal":{"name":"Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3314111.3319816","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 22
Abstract
Mixed reality headsets are being designed with integrated eye trackers: cameras that image the user's eye to infer gaze location and pupil diameter. While the intent is to improve the quality of experience, built-in eye trackers create a security vulnerability for hackers - high resolution images of the user's iris. Anyone stealing an iris image has effectively captured a gold standard biometric, relied on for secure authentication in applications such as banking and voting. We present a low cost solution to degrade iris authentication while still permitting the utility of gaze tracking with acceptable accuracy. By demonstrating this solution on a commodity eye tracker, this paper urges the community to think about iris based authentication as a byproduct of eye tracking, and create solutions that empower a user to control this biometric.