research-article

Job Adverts Analyzer for Cybersecurity Skills Needs Evaluation

Authors:

Yianna Danidou,

Argyro Chatzopoulou,

Donatas AlksnysAuthors Info & Claims

ARES '22: Proceedings of the 17th International Conference on Availability, Reliability and Security

Article No.: 84, Pages 1 - 10

https://doi.org/10.1145/3538969.3543821

Published: 23 August 2022 Publication History

Abstract

This article presents a new free web-based application, the Cybersecurity Job Ads Analyzer, which has been created to collect and analyse job adverts using a machine learning algorithm. This algorithm enables the detection of the skills required in advertised cybersecurity work positions. The application is both interactive and dynamic allowing for automated analyses and for the underlying database of job adverts to be easily updated. Through the Cybersecurity Job Ads Analyzer, it is possible to explore the skills required over time, and thereby enable academia and other training providers to better understand and address the needs of the industry. We will describe in detail the user interface and technical background of the application, as well as highlight the preliminary statistical results we have obtained from analysing the current database of job adverts.

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Cited By

Dzurenda PRicci SSikora MStejskal MLendák IAdao P(2024)Enhancing Cybersecurity Curriculum Development: AI-Driven Mapping and Optimization TechniquesProceedings of the 19th International Conference on Availability, Reliability and Security10.1145/3664476.3670467(1-10)Online publication date: 30-Jul-2024
https://dl.acm.org/doi/10.1145/3664476.3670467
Briones Delgado ARicci SChatzopoulou ACegan JDzurenda PKoutoudis I(2023)Enhancing Cybersecurity Education in Europe: The REWIRE’s Course Selection MethodologyProceedings of the 18th International Conference on Availability, Reliability and Security10.1145/3600160.3605091(1-7)Online publication date: 29-Aug-2023
https://dl.acm.org/doi/10.1145/3600160.3605091
Danidou YRicci SSkarmeta AHosek JZanero SLendak I(2023)DJM-CYBER: A Joint Master in Advanced CybersecurityProceedings of the 18th International Conference on Availability, Reliability and Security10.1145/3600160.3605002(1-10)Online publication date: 29-Aug-2023
https://dl.acm.org/doi/10.1145/3600160.3605002

Index Terms

Job Adverts Analyzer for Cybersecurity Skills Needs Evaluation

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cover image ACM Other conferences

ARES '22: Proceedings of the 17th International Conference on Availability, Reliability and Security

August 2022

1371 pages

ISBN:9781450396707

DOI:10.1145/3538969

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Publication History

Published: 23 August 2022

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Research-article
Research
Refereed limited

Funding Sources

Ministry of Education, Science and Technological Development of the Republic of Serbia
Ministerstvo Vnitra České Republiky
Deutsche Forschungsgemeinschaft
European Union

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ARES 2022

ARES 2022: The 17th International Conference on Availability, Reliability and Security

August 23 - 26, 2022

Vienna, Austria

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Overall Acceptance Rate 228 of 451 submissions, 51%

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Cited By

Dzurenda PRicci SSikora MStejskal MLendák IAdao P(2024)Enhancing Cybersecurity Curriculum Development: AI-Driven Mapping and Optimization TechniquesProceedings of the 19th International Conference on Availability, Reliability and Security10.1145/3664476.3670467(1-10)Online publication date: 30-Jul-2024
https://dl.acm.org/doi/10.1145/3664476.3670467
Briones Delgado ARicci SChatzopoulou ACegan JDzurenda PKoutoudis I(2023)Enhancing Cybersecurity Education in Europe: The REWIRE’s Course Selection MethodologyProceedings of the 18th International Conference on Availability, Reliability and Security10.1145/3600160.3605091(1-7)Online publication date: 29-Aug-2023
https://dl.acm.org/doi/10.1145/3600160.3605091
Danidou YRicci SSkarmeta AHosek JZanero SLendak I(2023)DJM-CYBER: A Joint Master in Advanced CybersecurityProceedings of the 18th International Conference on Availability, Reliability and Security10.1145/3600160.3605002(1-10)Online publication date: 29-Aug-2023
https://dl.acm.org/doi/10.1145/3600160.3605002

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