Tobias Schultes, M. Grau, Daniel Steinmetzer, M. Hollick
{"title":"DEMO: Far Away and Yet Nearby - A Framework for Practical Distance Fraud on Proximity Services for Mobile Devices","authors":"Tobias Schultes, M. Grau, Daniel Steinmetzer, M. Hollick","doi":"10.1145/2939918.2942416","DOIUrl":null,"url":null,"abstract":"Proximity services are widely used in mobile applications for fast and easy data transfer and control of various systems within a defined range. Authorization is achieved by proximity detection mechanisms that surrogate extensive pairing processes. In this work, we present our Nearby Distance Fraud Framework (NeDiFF) to investigate distance fraud on various proximity services. NeDiFF cheats on proximity checks in services as Google Nearby Messages, Chromecast guest mode and Android device location. Our results emphasize that proximity services currently used for mobile devices are prone to relay attacks and should not be used in security-sensitive applications.","PeriodicalId":387704,"journal":{"name":"Proceedings of the 9th ACM Conference on Security & Privacy in Wireless and Mobile Networks","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 9th ACM Conference on Security & Privacy in Wireless and Mobile Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2939918.2942416","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
Proximity services are widely used in mobile applications for fast and easy data transfer and control of various systems within a defined range. Authorization is achieved by proximity detection mechanisms that surrogate extensive pairing processes. In this work, we present our Nearby Distance Fraud Framework (NeDiFF) to investigate distance fraud on various proximity services. NeDiFF cheats on proximity checks in services as Google Nearby Messages, Chromecast guest mode and Android device location. Our results emphasize that proximity services currently used for mobile devices are prone to relay attacks and should not be used in security-sensitive applications.