CyberReco:~Cybersecurity Workforce Readiness Recommender System

Authors

DOI:

https://doi.org/10.32473/flairs.36.133305

Keywords:

Cybersecurity, Workforce, Recommender System, AI/ML, Natural Language Processing, NICE Framework

Abstract

Using the United States National Initiative for Cybersecurity Education framework as a guide, we propose CyberReco - Cybersecurity Workforce Readiness Recommender System, an AI/ML model that attempts to address readiness gaps needed to prepare users lacking in some cybersecurity knowledge, skills, and activities to be workforce-ready. CyberReco is built using natural language processing. We present a hierarchical-based framework that is composed of four components including, text preparation and normalization, keywords extraction and processing, similarity scores and skills computation, and a recommender component.

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Published

08-05-2023

How to Cite

Lasisi, R. (2023). CyberReco:~Cybersecurity Workforce Readiness Recommender System. The International FLAIRS Conference Proceedings, 36(1). https://doi.org/10.32473/flairs.36.133305