Job Adverts Analyzer for Cybersecurity Skills Needs Evaluation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F22%3APU144749" target="_blank" >RIV/00216305:26220/22:PU144749 - isvavai.cz</a>

Výsledek na webu

<a href="https://dl.acm.org/doi/10.1145/3538969.3543821" target="_blank" >https://dl.acm.org/doi/10.1145/3538969.3543821</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3538969.3543821" target="_blank" >10.1145/3538969.3543821</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Job Adverts Analyzer for Cybersecurity Skills Needs Evaluation

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Job Adverts Analyzer for Cybersecurity Skills Needs Evaluation

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/VJ01030001" target="_blank" >VJ01030001: Mezinárodní partnerství pro trénink dovedností kybernetické bezpečnosti</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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

ISBN

978-1-4503-9670-7

ISSN

—

e-ISSN

—

Počet stran výsledku

10

Strana od-do

1-10

Název nakladatele

ACM

Místo vydání

neuveden

Místo konání akce

Vienna, AT

Datum konání akce

23. 8. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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