arXiv AI By Mary Nusrat, Sarfuddin Bhuiyan, Gahangir Hossain

Dont Just Teach, Explain! A Gamified 20Q Recommender for Cybersecurity Education

Read the original on arXiv AI →

The paper presents a gamified 20Q-style recommender for cybersecurity education that uses reinforcement learning and explainable AI to guide learners through interactive questioning. By acting as a knowledgeable questioner, the system narrows down user-described security scenarios, identifies the underlying threat, and transparently explains its reasoning. The authors detail the system architecture, algorithmic foundations, and provide case studies covering attack vectors such as the Cyber Kill Chain, phishing, ransomware, and web application vulnerabilities.

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