{"title":"An Examination of Pairing Method with Camera and Acceleration Sensor","authors":"M. Nagatomo, K. Aburada, N. Okazaki, Mirang Park","doi":"10.23919/ICMU.2018.8653584","DOIUrl":null,"url":null,"abstract":"Received signal strength (RSS) is used for proximate device authentication in wireless communications, but it changes significantly due to environmental factors. Thus, it is difficult to obtain reliably accurate device authentication with RSS. An alternative is proximity authentication, in which an infrared camera recognizes the movement of a hand-held device. In this method, the camera cannot recognize device inclination, and the user needs to have a special camera. In this paper, we propose a method that performs authentication by pairing a PC having a common camera and a hand-held device having an accelerometer. In this method, the PC recognizes a marker on the display of the device and calculates the similarity between the displacement of the marker and the acceleration of the device. We performed experiments to determine how the similarity changes according to the distance from a device to a camera and whether an eavesdropper outside the camera range can perform pairing. As a result, we found that it is possible to set a threshold for the similarity, but the standard deviation of the similarity was large, making the method unstable.","PeriodicalId":398108,"journal":{"name":"2018 Eleventh International Conference on Mobile Computing and Ubiquitous Network (ICMU)","volume":"345 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Eleventh International Conference on Mobile Computing and Ubiquitous Network (ICMU)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ICMU.2018.8653584","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
Received signal strength (RSS) is used for proximate device authentication in wireless communications, but it changes significantly due to environmental factors. Thus, it is difficult to obtain reliably accurate device authentication with RSS. An alternative is proximity authentication, in which an infrared camera recognizes the movement of a hand-held device. In this method, the camera cannot recognize device inclination, and the user needs to have a special camera. In this paper, we propose a method that performs authentication by pairing a PC having a common camera and a hand-held device having an accelerometer. In this method, the PC recognizes a marker on the display of the device and calculates the similarity between the displacement of the marker and the acceleration of the device. We performed experiments to determine how the similarity changes according to the distance from a device to a camera and whether an eavesdropper outside the camera range can perform pairing. As a result, we found that it is possible to set a threshold for the similarity, but the standard deviation of the similarity was large, making the method unstable.
在无线通信中,接收信号强度(Received signal strength, RSS)用于近端设备认证,但由于环境因素,它会发生很大的变化。因此,使用RSS很难获得可靠准确的设备身份验证。另一种方法是近距离认证,即用红外摄像机识别手持设备的运动。在这种方法中,相机无法识别设备的倾斜度,用户需要有专门的相机。在本文中,我们提出了一种通过配对具有普通相机的PC和具有加速度计的手持设备来执行身份验证的方法。在该方法中,PC识别设备显示器上的标记,并计算标记的位移与设备加速度之间的相似度。我们进行了实验,以确定相似度如何随着设备到摄像机的距离而变化,以及在摄像机范围之外的窃听者是否可以进行配对。结果,我们发现可以为相似度设置阈值,但相似度的标准差较大,使得该方法不稳定。