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Review

A Systematic Review of Recommender Systems and Their Applications in Cybersecurity

1
ITTI Sp. z o.o., Rubież 46, 61-612 Poznań, Poland
2
Institute of Telecommunications and Computer Sciences, UTP University of Science and Technology, 85-796 Bydgoszcz, Poland
*
Author to whom correspondence should be addressed.
Sensors 2021, 21(15), 5248; https://doi.org/10.3390/s21155248
Submission received: 4 July 2021 / Revised: 28 July 2021 / Accepted: 29 July 2021 / Published: 3 August 2021

Abstract

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.
Keywords: recommender systems; collaborative filtering; cybersecurity recommender systems; collaborative filtering; cybersecurity

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MDPI and ACS Style

Pawlicka, A.; Pawlicki, M.; Kozik, R.; Choraś, R.S. A Systematic Review of Recommender Systems and Their Applications in Cybersecurity. Sensors 2021, 21, 5248. https://doi.org/10.3390/s21155248

AMA Style

Pawlicka A, Pawlicki M, Kozik R, Choraś RS. A Systematic Review of Recommender Systems and Their Applications in Cybersecurity. Sensors. 2021; 21(15):5248. https://doi.org/10.3390/s21155248

Chicago/Turabian Style

Pawlicka, Aleksandra, Marek Pawlicki, Rafał Kozik, and Ryszard S. Choraś. 2021. "A Systematic Review of Recommender Systems and Their Applications in Cybersecurity" Sensors 21, no. 15: 5248. https://doi.org/10.3390/s21155248

APA Style

Pawlicka, A., Pawlicki, M., Kozik, R., & Choraś, R. S. (2021). A Systematic Review of Recommender Systems and Their Applications in Cybersecurity. Sensors, 21(15), 5248. https://doi.org/10.3390/s21155248

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