{"title":"I Am (Still) Here!","authors":"Inês Albano, D. Gonçalves","doi":"10.1109/icgi54032.2021.9655288","DOIUrl":null,"url":null,"abstract":"Students must be accounted for in a classroom environment, and there are several methods to ensure student checking. Traditionally, attendance can be done with paper-based solutions such as the signing of attendance sheets. However, this is unreliable, time-wasting, and not scalable. In this paper, we describe an automated, costless, portable, web-based platform that is resilient to fraud thanks to device fingerprinting techniques, retrieving indicators such as the user-agent, IP address, fonts installed, geolocation, and others. Various simulations tested our solution and proved that the platform could detect fraud using the fingerprinting mechanism and the geolocation method.","PeriodicalId":117837,"journal":{"name":"2021 International Conference on Graphics and Interaction (ICGI)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Graphics and Interaction (ICGI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icgi54032.2021.9655288","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
Students must be accounted for in a classroom environment, and there are several methods to ensure student checking. Traditionally, attendance can be done with paper-based solutions such as the signing of attendance sheets. However, this is unreliable, time-wasting, and not scalable. In this paper, we describe an automated, costless, portable, web-based platform that is resilient to fraud thanks to device fingerprinting techniques, retrieving indicators such as the user-agent, IP address, fonts installed, geolocation, and others. Various simulations tested our solution and proved that the platform could detect fraud using the fingerprinting mechanism and the geolocation method.