Job Adverts Analyzer for Cybersecurity Skills Needs Evaluation
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Job Adverts Analyzer for Cybersecurity Skills Needs Evaluation
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/VJ01030001" target="_blank" >VJ01030001: International Partnership for Cybersecurity Skills Training</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ARES '22: Proceedings of the 17th International Conference on Availability, Reliability and Security
ISBN
978-1-4503-9670-7
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
1-10
Publisher name
ACM
Place of publication
neuveden
Event location
Vienna, AT
Event date
Aug 23, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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