The rapid advancement of generative Artificial Intelligence (AI)
technologies, particularly Generative Pre-trained Transformer (GPT) models such
as ChatGPT, has the potential to significantly impact cybersecurity. In this
study, we investigated the impact of GPTs, specifically ChatGPT, on tertiary
education in cybersecurity, and provided recommendations for universities to
adapt their curricula to meet the evolving needs of the industry. Our research
highlighted the importance of understanding the alignment between GPT's
``mental model'' and human cognition, as well as the enhancement of GPT
capabilities to human skills based on Bloom's taxonomy. By analyzing current
educational practices and the alignment of curricula with industry
requirements, we concluded that universities providing practical degrees like
cybersecurity should align closely with industry demand and embrace the
inevitable generative AI revolution, while applying stringent ethics oversight
to safeguard responsible GPT usage. We proposed a set of recommendations
focused on updating university curricula, promoting agility within
universities, fostering collaboration between academia, industry, and
policymakers, and evaluating and assessing educational outcomes.

本研究调查了生成式人工智能技术（特别是 ChatGPT 等生成式预训练变形器模型）对网络安全的影响，并提出了针对大学的课程改革的建议，以满足行业不断发展的需求。我们的研究强调了理解生成式人工智能的 “心智模型” 与人类认知之间的对齐的重要性，以及根据布卢姆分类对生成式人工智能能力进行人类技能提升。通过分析当前教育实践、课程与行业需求的对齐，我们得出了一个结论，即提供网络安全等实践性学位的大学应密切与行业需求对齐，并接受不可避免的生成式人工智能革命，同时应用严格的伦理监督以确保负责任地使用生成式人工智能。我们提出了一系列关于更新大学课程、促进大学的灵活性、促进学术界、行业和决策者之间的合作以及评估和评价教育成果的建议。