摘要
为降低国民网络安全风险,提高人员网络安全意识水平,自适应网络安全意识测评系统作为测评领域的最新理论成果,结合了自然语言处理、知识图谱构建、基于认知诊断的自适应测试等前沿技术,是人工智能在测评领域的新应用,具有重大的现实意义和应用价值。本文阐述了测评系统的理论模型和各关键技术的研究发展现状。首先介绍了测评系统的模块框架构成,然后根据模块内容具体分析了主要研究问题、主流思想和研究进展等,剖析了现有方案的优势与不足,最后对技术的未来研究方向进行了展望。
In order to reduce the risk of national cybersecurity and improve the level of people’s awareness,the adaptive assessment system of cybersecurity awareness is the latest theoretical achievement which is combined by natural language processing,knowledge mapping and computerized adaptive testing based on cognitive diagnostics,etc.The adaptive assessment system is the advanced application of artificial intelligence in the field of evaluation,which has great practical significance and application value.Therefore,the theoretical model of the assessment system and the developing status of various key technologies were elaborated.Firstly,the module framework of the evaluation system was introduced.Then the main research issues,mainstream ideas and research progress were analyzed based on the content.The advantages and disadvantages of the existing solutions were also analyzed.Finally,the future research direction of the technology was forecast.
作者
齐斌
邹红霞
王宇
李冀兴
QI Bin;ZOU Hongxia;WANG Yu;LI Jixing(Space Engineering University,Beijing 101416,China)
出处
《兵器装备工程学报》
CAS
北大核心
2018年第11期140-146,共7页
Journal of Ordnance Equipment Engineering
基金
省部级科技创新工程项目(ZYX14030011)
关键词
网络安全
意识测评
自然语言处理
知识图谱
自适应测试
综述
cybersecurity
awareness assessment
natural language processing
knowledge mapping
computerized adaptive testing
review
