AI in Cybersecurity Education- A Systematic Literature Review of Studies on Cybersecurity MOOCs
AI in Cybersecurity Education- A Systematic Literature Review of Studies on Cybersecurity MOOCs
复制标题
网络安全教育中的人工智能——网络安全慕课研究系统文献综述
DOI：
10.1109/icalt49669.2020.00009
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
A. Airola
中科院分区：
文献类型：
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作者：
Samuli Laato;Ali Farooq;H. Tenhunen;Tinja Pitkamaki;Antti Hakkala;A. Airola
机器学习（ML）技术正在改变网络安全的进攻和防御方面。这对隐私的影响尤其强烈，因为ML方法为利用收集的数据提供了前所未有的机会。因此，需要进行网络安全和人工智能教育。为了研究人工智能和网络安全应该如何一起教授，我们通过进行系统的文献综述来研究以前关于网络安全MOOC的研究。初步检索结果为72个项目，在筛选了关于网络安全在线课程的同行评审出版物后，仍有15项研究。其中三项研究涉及多个网络安全MOOC，而12项研究则侧重于个别课程。与所有可用的网络安全MOOC相比，评估特定网络安全MOOC的已发表工作数量很少。对研究的分析表明，在几乎所有情况下，网络安全教育都是根据主题而不是使用的工具组织的，这使得学习者很难找到有关人工智能在网络安全中应用的重点信息。此外，学术文献中关于如何在网络课程中教授人工智能在网络安全中的应用存在争议。
Machine learning (ML) techniques are changing both the offensive and defensive aspects of cybersecurity. The implications are especially strong for privacy, as ML approaches provide unprecedented opportunities to make use of collected data. Thus, education on cybersecurity and AI is needed. To investigate how AI and cybersecurity should be taught together, we look at previous studies on cybersecurity MOOCs by conducting a systematic literature review. The initial search resulted in 72 items and after screening for only peer-reviewed publications on cybersecurity online courses, 15 studies remained. Three of the studies concerned multiple cybersecurity MOOCs whereas 12 focused on individual courses. The number of published work evaluating specific cybersecurity MOOCs was found to be small compared to all available cybersecurity MOOCs. Analysis of the studies revealed that cybersecurity education is, in almost all cases, organised based on the topic instead of used tools, making it difficult for learners to find focused information on AI applications in cybersecurity. Furthermore, there is a gab in academic literature on how AI applications in cybersecurity should be taught in online courses.