在线无人监考防作弊新技术探索  

Exploring the New Technology of Preventing Cheating in Online Unsupervised Examination

作　　者：李沛秦[1] 陈浩 熊伟[1] 谢剑斌[1] 闫玮[1] LI Pei-qin;CHEN Hao;XIONG Wei;XIE Jian-bin;YAN Wei(College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China)

机构地区：[1]国防科技大学电子科学学院,湖南长沙410073

出　　处：《电气电子教学学报》2021年第3期87-90,共4页Journal of Electrical and Electronic Education

基　　金：国防科技大学研究生教育教学改革研究课题(yjsy2019016);国防科技大学本科和任职教育教学研究课题(u2019104)。

摘　　要：为了解决教育资源分布不均衡等问题,实现优势资源共享,发展网络教育已经成为全球性的大趋势。许多国家都把发展现代网络教育作为重要的战略决策,网络教育成为各级各类学校的一种重要教育手段和发展方向。无人监考是新的网络教育体系中重要环节之一。为了确保真学真考,本文针对现阶段远程教育中存在的替学替考、假体攻击、夹带抄袭等作弊行为,探讨了活体人脸检测、跨年代人脸识别、夹带行为检测等安全环节的创新方法。上述关键新技术有助于提高无人监考的安全性,确保远程网络教育落实到人,推动网络教育体系建设和发展。In order to solve the unbalanced distribution of educational resources and realize the sharing of advantageous resources,online education has become a global trend.Many countries take the development of modern network education as an important strategic decision,and network education has become an important educational means and development direction for all kinds of schools at all levels.Unsupervised examination is one of the important parts in the new network education system.In order to ensure true learning and true examination,this paper discusses some innovative methods for safety,such as living face detection,cross age face verification,and entrainment behavior detection.The above new technologies will help to improve the security of unsupervised examination,ensure that distance online education is implemented to people,and promote the smooth implementation of the new network education system.

关 键 词：防假体人脸攻击 人脸识别 行为检测 卷积神经网络 

分 类 号：G642[文化科学—高等教育学]