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A Systematic Review of Recommender Systems and Their Applications in Cybersecurity
This paper discusses the valuable role recommender systems may play in cybersecurity. First, a comprehensive presentation of recommender system types is presented, as well as their advantages and disadvantages, possible applications and security concerns. Then, the paper collects and presents the st...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347790/ https://www.ncbi.nlm.nih.gov/pubmed/34372489 http://dx.doi.org/10.3390/s21155248 |
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author | Pawlicka, Aleksandra Pawlicki, Marek Kozik, Rafał Choraś, Ryszard S. |
author_facet | Pawlicka, Aleksandra Pawlicki, Marek Kozik, Rafał Choraś, Ryszard S. |
author_sort | Pawlicka, Aleksandra |
collection | PubMed |
description | This paper discusses the valuable role recommender systems may play in cybersecurity. First, a comprehensive presentation of recommender system types is presented, as well as their advantages and disadvantages, possible applications and security concerns. Then, the paper collects and presents the state of the art concerning the use of recommender systems in cybersecurity; both the existing solutions and future ideas are presented. The contribution of this paper is two-fold: to date, to the best of our knowledge, there has been no work collecting the applications of recommenders for cybersecurity. Moreover, this paper attempts to complete a comprehensive survey of recommender types, after noticing that other works usually mention two–three types at once and neglect the others. |
format | Online Article Text |
id | pubmed-8347790 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83477902021-08-08 A Systematic Review of Recommender Systems and Their Applications in Cybersecurity Pawlicka, Aleksandra Pawlicki, Marek Kozik, Rafał Choraś, Ryszard S. Sensors (Basel) Review This paper discusses the valuable role recommender systems may play in cybersecurity. First, a comprehensive presentation of recommender system types is presented, as well as their advantages and disadvantages, possible applications and security concerns. Then, the paper collects and presents the state of the art concerning the use of recommender systems in cybersecurity; both the existing solutions and future ideas are presented. The contribution of this paper is two-fold: to date, to the best of our knowledge, there has been no work collecting the applications of recommenders for cybersecurity. Moreover, this paper attempts to complete a comprehensive survey of recommender types, after noticing that other works usually mention two–three types at once and neglect the others. MDPI 2021-08-03 /pmc/articles/PMC8347790/ /pubmed/34372489 http://dx.doi.org/10.3390/s21155248 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Pawlicka, Aleksandra Pawlicki, Marek Kozik, Rafał Choraś, Ryszard S. A Systematic Review of Recommender Systems and Their Applications in Cybersecurity |
title | A Systematic Review of Recommender Systems and Their Applications in Cybersecurity |
title_full | A Systematic Review of Recommender Systems and Their Applications in Cybersecurity |
title_fullStr | A Systematic Review of Recommender Systems and Their Applications in Cybersecurity |
title_full_unstemmed | A Systematic Review of Recommender Systems and Their Applications in Cybersecurity |
title_short | A Systematic Review of Recommender Systems and Their Applications in Cybersecurity |
title_sort | systematic review of recommender systems and their applications in cybersecurity |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347790/ https://www.ncbi.nlm.nih.gov/pubmed/34372489 http://dx.doi.org/10.3390/s21155248 |
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