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RICCI, S.; DZURENDA, P.; SOMERS, C.; GONZÁLEZ-VÉLEZ, H.; MORÁVEK, L.
Original Title
Cybersecurity Micro-credentials and Career Path Design: The Digital4Security Good Practices
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
Cybersecurity is critical to safeguarding digital economies, yet the sector faces a significant expert shortage. Addressing this gap requires scalable and flexible education to upskill both specialists and nonspecialists. This paper introduces a novel, good-practice methodology for the design of micro-credentials and an AI-driven career path planning solution, both aligned with the European Cybersecurity Skills Framework (ECSF). The primary objective is to support the scalable development of standardized, ECSF-aligned cybersecurity micro-credentials that address evolving labour market needs and facilitate personalized career progression. The proposed approach is validated through the Digital4Security case study, where 17 ECSF-aligned micro-credentials were developed and analyzed. Additionally, a dedicated open-source web application, the Cybersecurity Career Path Designer, supports personalized pathway planning for users by matching existing skills to ECSF profiles. This work demonstrates a practical and scalable framework for aligning education with cybersecurity market needs.
English abstract
Keywords
Career Path | Cybersecurity Education | ECSF Framework | Methodology | Micro-credentials
Key words in English
Authors
RIV year
2026
Released
01.01.2025
Publisher
Springer Science and Business Media Deutschland GmbH
ISBN
9783032006462
Book
Lecture Notes in Computer Science
Periodical
State
Swiss Confederation
Pages from
77
Pages to
95
Pages count
19
URL
https://link.springer.com/chapter/10.1007/978-3-032-00644-8_5
BibTex
@inproceedings{BUT200043, author="Sara {Ricci} and Petr {Dzurenda} and {} and {} and Lisa Janine {Morávek}", title="Cybersecurity Micro-credentials and Career Path Design: The Digital4Security Good Practices", booktitle="Lecture Notes in Computer Science", year="2025", journal="Lecture Notes in Computer Science", pages="77--95", publisher="Springer Science and Business Media Deutschland GmbH", doi="10.1007/978-3-032-00644-8\{_}5", isbn="9783032006462", url="https://link.springer.com/chapter/10.1007/978-3-032-00644-8_5" }