Nisarg Raval, Animesh Srivastava, Ali Razeen, Kiron Lebeck, Ashwin Machanavajjhala, Landon P. Cox
{"title":"Demo: What You Mark is What Apps See","authors":"Nisarg Raval, Animesh Srivastava, Ali Razeen, Kiron Lebeck, Ashwin Machanavajjhala, Landon P. Cox","doi":"10.1145/2938559.2938579","DOIUrl":null,"url":null,"abstract":"The proliferation of camera-equipped computers creates a dilemma. On one hand, cameras enable many useful applications, including video chat, document scanning, and QR-code reading. At the same time, sensitive information in the physical environment can inadvertently leak through image data shared with applications. Preventing leaks by a determined attacker is likely impossible, but as camera-based applications become more central to our work and personal lives, it is imperative to develop tools that provide greater control over what information applications can access through cameras. We have designed and implemented two systems, PrivateEye and WaveOff, that use privacy markers to provide fine-grained access control of information within a camera's view. Our demonstration highlights the accuracy, performance, and usability of these systems.","PeriodicalId":298684,"journal":{"name":"MobiSys '16 Companion","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"MobiSys '16 Companion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2938559.2938579","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The proliferation of camera-equipped computers creates a dilemma. On one hand, cameras enable many useful applications, including video chat, document scanning, and QR-code reading. At the same time, sensitive information in the physical environment can inadvertently leak through image data shared with applications. Preventing leaks by a determined attacker is likely impossible, but as camera-based applications become more central to our work and personal lives, it is imperative to develop tools that provide greater control over what information applications can access through cameras. We have designed and implemented two systems, PrivateEye and WaveOff, that use privacy markers to provide fine-grained access control of information within a camera's view. Our demonstration highlights the accuracy, performance, and usability of these systems.