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دسته بندی:
هوش مصنوعی - Artificial intelligence
سال انتشار:
2020
عنوان انگلیسی مقاله:
AI in Cybersecurity Education: A Systematic Literature Review of Studies on Cybersecurity MOOCs
ترجمه فارسی عنوان مقاله:
هوش مصنوعی در آموزش امنیت سایبری: مروری بر ادبیات سیستماتیک مطالعات مربوط به امنیت سایبری MOOC
منبع:
IEEE - 2020 IEEE 20th International Conference on Advanced Learning Technologies (ICALT);2020; ; ;10.1109/ICALT49669.2020.00009
نویسنده:
Samuli Laato , Ali Farooq , Henri Tenhunen , Tinja Pitk¨am¨aki , Antti Hakkala , Antti Airola
چکیده انگلیسی:
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.
Index Terms: cybersecurity | MOOC | machine learning | AI | systematic literature review
قیمت: رایگان
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