{"title":"POSTER: Design Ideas for Privacy-aware User Interfaces for Mobile Devices","authors":"Neel Tailor, Ying He, Isabel Wagner","doi":"10.1145/2939918.2942420","DOIUrl":"https://doi.org/10.1145/2939918.2942420","url":null,"abstract":"Privacy in mobile applications is an important topic, especially when it concerns applications that gather and process health data. Using MyFitnessPal as an example eHealth app, we analyze how privacy-aware its user interface is, i.e. how well users are informed about privacy and how much control they have. We find several issues with the current interface and develop five design ideas that make the interface more privacy-aware. In a small pilot user study, we find that most of the design ideas seem to work well and enhance end users' understanding and awareness of privacy.","PeriodicalId":387704,"journal":{"name":"Proceedings of the 9th ACM Conference on Security & Privacy in Wireless and Mobile Networks","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121061324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"DEMO: Panoptiphone: How Unique is Your Wi-Fi Device?","authors":"Célestin Matte, M. Cunche","doi":"10.1145/2939918.2942417","DOIUrl":"https://doi.org/10.1145/2939918.2942417","url":null,"abstract":"MAC address randomization in Wi-Fi-enabled devices has recently been adopted to prevent passive tracking of mobile devices. However, Wi-Fi frames still contain fields that can be used to fingerprint devices and potentially allow tracking. Panoptiphone is a tool inspired by the web browser fingerprinting tool Panopticlick [2], which aims to show the identifying information that can be found in the frames broadcast by a Wi-Fi-enabled device. Information is passively collected from devices that have their Wi-Fi interface enabled, even if they are not connected to an access point. Panoptiphone uses this information to create a fingerprint of the device and empirically evaluate its uniqueness among a database of fingerprints. The user is then shown how much identifying information its device is leaking through Wi-Fi and how unique it is.","PeriodicalId":387704,"journal":{"name":"Proceedings of the 9th ACM Conference on Security & Privacy in Wireless and Mobile Networks","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124965451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}