AI and Network Security Curricula: Minding the Gap

被引:1
作者
Alomar, Ban [1 ]
Trabelsi, Zouheir [1 ]
Qayyum, Tariq [1 ]
Parambil, Medha Mohan Ambali [1 ]
机构
[1] United Arab Emirates Univ, Al Ain, U Arab Emirates
来源
2024 IEEE GLOBAL ENGINEERING EDUCATION CONFERENCE, EDUCON 2024 | 2024年
关键词
AI pedagogy; Experiential Learning; Network Security;
D O I
10.1109/EDUCON60312.2024.10578588
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The ongoing expansion of the digital landscape has led to a growing convergence between the fields of artificial intelligence (AI) and network security. This has necessitated the need for universities to incorporate AI into their network security curriculum. Although traditional network security courses are considered crucial, they lack the agility to address constantly evolving threats. AI offers a transformative solution to such difficulties with its predictive analytics, real-time intrusion detection, and adaptive learning capabilities. This study highlights the importance of incorporating AI into network security curricula at the undergraduate level. A modification to the curriculum is proposed, wherein AI themes are integrated into network security courses and labs. The proposed curricula include understanding theoretical AI concepts and designing AI-augmented hands-on laboratories. The pedagogy emphasizes the tools, and frameworks that facilitate the construction of AI models for intrusion detection, malware analysis, and network analytics. This plays a significant importance in providing a simulated environment for students to engage with AI tools and methods to address authentic cyber threats.
引用
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页数:7
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