在线考生身份验证的击键和体裁特征研究

John C. Stewart, John V. Monaco, Sung-Hyuk Cha, C. Tappert
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引用次数: 65

摘要

2008年联邦《高等教育机会法案》要求高等院校加大访问控制力度,通过采用越来越普遍的身份识别技术,确保有记录的学生是真正访问系统并参加在线课程考试的人。为了满足这些需求,我们研究了击键和体体学生物识别技术,以开发一个强大的系统来验证(验证)在线考生。从40名参加大学课程的应试学生的数据中获得了击键、体体法和组合击键-体体法系统的性能统计数据。在击键系统上的最佳等错误率性能为0.5%,这比之前报告的该系统的结果有所改进。然而,文体学系统的性能相当差,并且没有提高击键系统的性能,这表明文体学不适合短答测试的文本长度,除非这些功能可以得到实质性的改进,至少对于所采用的方法。
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An investigation of keystroke and stylometry traits for authenticating online test takers
The 2008 federal Higher Education Opportunity Act requires institutions of higher learning to make greater access control efforts for the purposes of assuring that students of record are those actually accessing the systems and taking exams in online courses by adopting identification technologies as they become more ubiquitous. To meet these needs, keystroke and stylometry biometrics were investigated towards developing a robust system to authenticate (verify) online test takers. Performance statistics on keystroke, stylometry, and combined keystroke-stylometry systems were obtained on data from 40 test-taking students enrolled in a university course. The best equal-error-rate performance on the keystroke system was 0.5% which is an improvement over earlier reported results on this system. The performance of the stylometry system, however, was rather poor and did not boost the performance of the keystroke system, indicating that stylometry is not suitable for text lengths of short-answer tests unless the features can be substantially improved, at least for the method employed.
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