The CATS Hackathon: Creating and Refining Test Items for Cybersecurity Concept Inventories

摘要

The ever-increasing volume, variety, and velocity of threats dictates a big data problem in cybersecurity and necessitates deployment of AI and machine-learning (ML) algorithms. The limitations and vulnerabilities of AI/ML systems, combined with complexity of data, introduce a new adversarial model, which is defined and discussed in this article.