集成法在线考试安全系统的开发

Handri Santoso, Ganis Samoedra Murharyono, Theresia Herlina
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引用次数: 1

摘要

对于在线考试,它需要一个严格的安全系统。许多安全系统使用人脸识别进行授权,而不是使用用户ID、密码和令牌。本研究提出一套线上考试安全系统,以减少系统缺陷被滥用于考试的实施。通过添加过滤器和实现算法,该系统可以区分被面具覆盖或使用照片图像的真实面孔和假面孔。如果存在欺诈,开发的系统将停止显示问题。通过多人脸检测,系统可以识别在考试过程中得到第三方帮助的考生。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of An Online Exam Security System using Ensemble Method
For running online exam, it requires a strict security system. Instead using User ID, Password, and token, many security systems used face recognition for authorization. This study proposed an online exam security system that minimized system deficiencies could be used in abusing the implementation of the exam. By adding the filter and implementing algorithms, the system enable distinguish between real faces and fake faces, which are covered by masks or using a photo image. The developed system will stop displaying the questions if there is a fraud. Using multi-face detection, the system can identify the examinee who helped by a 3rd party while doing the exam.
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