基于IRT的网络安全意识自适应测试技术  

Adaptive Testing of Network Security Awareness Based on IRT

作　　者：齐斌 邹红霞 王宇 李冀兴 QI Bin;ZOU Hongxia;WANG Yu;LI Jixing(Institute of Space Information, PLA Space Engineering University, Beijing 101416, China)

机构地区：[1]航天工程大学航天信息学院,北京101416

出　　处：《北京工业大学学报》2019年第5期436-443,共8页Journal of Beijing University of Technology

基　　金：国家"863"计划资助项目(2015AA***2078);省部级科技创新工程项目(zyx14030011)

摘　　要：为有效度量个人网络安全意识状态,根据项目反应理论和多阶段测验理论提出了网络安全意识自适应测试技术.首先,设计了基于"行业、岗位、人员"层级的知识库模型,根据模型给出了测试项目参数的计算方法.然后,引入反应时间的概念改进了逻辑斯蒂三参数模型.最后,提出了基于滑动窗口的组卷策略并给出了状态评估模型.结果表明:基于模型改进后的自适应测试的效能较传统模型测试和原逻辑斯蒂三参数模型的测试效能分别提高了34. 9%和8. 7%,为网络安全意识测试领域和其他领域计算机自适应测试技术的研究提供了参考.To effectively measure the status of personal network security awareness, this paper proposed an adaptive testing of the network security awareness based on the items response theory(IRT) and multi-stagetestingtheory. First,a knowledge library model based on“industry,job,and personnel”was designed. According to the model, the calculation method of the item parameters was given. Second, the concept of reaction time was imported to improve the logistic-3-parameter model. Finally, the grouping strategy based on the sliding window and the state evaluation model was given. Results show that the improved adaptive testing performance is 34.9% and8.7% higher than the traditional model testing and the original logistic-3-parameter model testing, respectively. It provides a reference for the field of testing on network security awareness and computerized adaptive testing technology.

关 键 词：网络安全意识 自适应测试 IRT LOGISTIC 模型 组卷策略 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]