Chen Liu, Pengyu Zhao, Kaigui Bian, Tong Zhao, Yan Wei
{"title":"The detection of physical attacks against iBeacon transmitters","authors":"Chen Liu, Pengyu Zhao, Kaigui Bian, Tong Zhao, Yan Wei","doi":"10.1109/IWQoS.2016.7590453","DOIUrl":null,"url":null,"abstract":"iBeacon is a new technology proposed by Apple using Bluetooth Low Energy (BLE), which helps mobile devices understand their position on a micro-local scale, and facilitates the delivery of location-based content to mobile users. According to the iBeacon protocol, iBeacon transmitters only do one-way broadcast communication, and thus it is difficult to authenticate the legitimacy of the transmitters. In this paper, we focus on detecting the physical attacks against iBeacon transmitters- iBeacon transmitters can be stolen, tampered, faked and reused, which interfere with the legitimate iBeacon transmission, reduce the quality of service and ultimately degrade the user experience. We develop a detection system based on Hidden Markov Model running on the server-side to detect the misbehaving iBeacon transmitters without more energy consuming. Our system achieves 85% detection accuracy on average for all physical attack actions; meanwhile it has a 5% false alarm rate for non-attack situations in our designated trace experiments, and 100% correct binary judgements in the random-trace experiments. To the best of our knowledge, this is the first work that focuses on the iBeacon physical attack problem.","PeriodicalId":304978,"journal":{"name":"2016 IEEE/ACM 24th International Symposium on Quality of Service (IWQoS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE/ACM 24th International Symposium on Quality of Service (IWQoS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWQoS.2016.7590453","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
iBeacon is a new technology proposed by Apple using Bluetooth Low Energy (BLE), which helps mobile devices understand their position on a micro-local scale, and facilitates the delivery of location-based content to mobile users. According to the iBeacon protocol, iBeacon transmitters only do one-way broadcast communication, and thus it is difficult to authenticate the legitimacy of the transmitters. In this paper, we focus on detecting the physical attacks against iBeacon transmitters- iBeacon transmitters can be stolen, tampered, faked and reused, which interfere with the legitimate iBeacon transmission, reduce the quality of service and ultimately degrade the user experience. We develop a detection system based on Hidden Markov Model running on the server-side to detect the misbehaving iBeacon transmitters without more energy consuming. Our system achieves 85% detection accuracy on average for all physical attack actions; meanwhile it has a 5% false alarm rate for non-attack situations in our designated trace experiments, and 100% correct binary judgements in the random-trace experiments. To the best of our knowledge, this is the first work that focuses on the iBeacon physical attack problem.