Examinee Authentication Using Multiple Types of Touch Gestures for Proxy Detection in Online Examinations

Shoko Yasuda, Hiroyuki Ogata
{"title":"Examinee Authentication Using Multiple Types of Touch Gestures for Proxy Detection in Online Examinations","authors":"Shoko Yasuda, Hiroyuki Ogata","doi":"10.12937/itel.3.1.reg.p002","DOIUrl":null,"url":null,"abstract":"This study proposes a new method for detecting and preventing proxy test-taking in online examinations using a tablet device that authenticates the identity of examinees based on multiple types of touch gestures. We proved that the support vector machine has the best performance among classifiers for authentication when various touch gestures are used and various positions on the screen are touched. The results also showed that if support vector machine is used as the classifier, a handshape image taken from above or from the side can be used for identity authentication. In the future, we will improve the experimental environment to make it more similar to an actual online examination and investigate the possibility of performing authentication using touch gestures at arbitrary points on the touch screen of a tablet device.","PeriodicalId":259246,"journal":{"name":"Information and Technology in Education and Learning","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information and Technology in Education and Learning","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12937/itel.3.1.reg.p002","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

This study proposes a new method for detecting and preventing proxy test-taking in online examinations using a tablet device that authenticates the identity of examinees based on multiple types of touch gestures. We proved that the support vector machine has the best performance among classifiers for authentication when various touch gestures are used and various positions on the screen are touched. The results also showed that if support vector machine is used as the classifier, a handshape image taken from above or from the side can be used for identity authentication. In the future, we will improve the experimental environment to make it more similar to an actual online examination and investigate the possibility of performing authentication using touch gestures at arbitrary points on the touch screen of a tablet device.
在线考试中使用多种触摸手势进行代理检测的考生身份验证
本研究提出了一种检测和防止在线考试代理考试的新方法,该方法使用基于多种触摸手势的平板设备来验证考生的身份。我们证明了当使用不同的触摸手势和触摸屏幕上的不同位置时,支持向量机在身份验证分类器中具有最好的性能。结果还表明,如果使用支持向量机作为分类器,则可以使用从上方或侧面拍摄的手形图像进行身份认证。在未来,我们将改进实验环境,使其更接近于实际的在线考试,并研究在平板设备的触摸屏上任意点使用触摸手势进行身份验证的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信