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Review

Security in Cloud-Native Services: A Survey

by
Theodoros Theodoropoulos
1,*,
Luis Rosa
2,
Chafika Benzaid
3,
Peter Gray
4,
Eduard Marin
5,
Antonios Makris
1,
Luis Cordeiro
2,
Ferran Diego
5,
Pavel Sorokin
4,
Marco Di Girolamo
6,
Paolo Barone
6,
Tarik Taleb
3 and
Konstantinos Tserpes
1
1
Department of Informatics and Telematics, Harokopio University of Athens, 17671 Athens, Greece
2
OneSource, 3030-384 Coimbra, Portugal
3
Faculty of Information Technology and Electrical Engineering, University of Oulu, 90570 Oulu, Finland
4
CloudSigma, 6300 Zug, Switzerland
5
Telefonica Research, 28050 Madrid, Spain
6
Hewlett Packard Enterprise, 20063 Milan, Italy
*
Author to whom correspondence should be addressed.
J. Cybersecur. Priv. 2023, 3(4), 758-793; https://doi.org/10.3390/jcp3040034
Submission received: 19 August 2023 / Revised: 6 October 2023 / Accepted: 17 October 2023 / Published: 26 October 2023
(This article belongs to the Special Issue Cloud Security and Privacy)
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Abstract

Cloud-native services face unique cybersecurity challenges due to their distributed infrastructure. They are susceptible to various threats like malware, DDoS attacks, and Man-in-the-Middle (MITM) attacks. Additionally, these services often process sensitive data that must be protected from unauthorized access. On top of that, the dynamic and scalable nature of cloud-native services makes it difficult to maintain consistent security, as deploying new instances and infrastructure introduces new vulnerabilities. To address these challenges, efficient security solutions are needed to mitigate potential threats while aligning with the characteristics of cloud-native services. Despite the abundance of works focusing on security aspects in the cloud, there has been a notable lack of research that is focused on the security of cloud-native services. To address this gap, this work is the first survey that is dedicated to exploring security in cloud-native services. This work aims to provide a comprehensive investigation of the aspects, features, and solutions that are associated with security in cloud-native services. It serves as a uniquely structured mapping study that maps the key aspects to the corresponding features, and these features to numerous contemporary solutions. Furthermore, it includes the identification of various candidate open-source technologies that are capable of supporting the realization of each explored solution. Finally, it showcases how these solutions can work together in order to establish each corresponding feature. The insights and findings of this work can be used by cybersecurity professionals, such as developers and researchers, to enhance the security of cloud-native services.
Keywords: cybersecurity; cloud-native services; survey; key aspects; features; solutions cybersecurity; cloud-native services; survey; key aspects; features; solutions

Share and Cite

MDPI and ACS Style

Theodoropoulos, T.; Rosa, L.; Benzaid, C.; Gray, P.; Marin, E.; Makris, A.; Cordeiro, L.; Diego, F.; Sorokin, P.; Girolamo, M.D.; et al. Security in Cloud-Native Services: A Survey. J. Cybersecur. Priv. 2023, 3, 758-793. https://doi.org/10.3390/jcp3040034

AMA Style

Theodoropoulos T, Rosa L, Benzaid C, Gray P, Marin E, Makris A, Cordeiro L, Diego F, Sorokin P, Girolamo MD, et al. Security in Cloud-Native Services: A Survey. Journal of Cybersecurity and Privacy. 2023; 3(4):758-793. https://doi.org/10.3390/jcp3040034

Chicago/Turabian Style

Theodoropoulos, Theodoros, Luis Rosa, Chafika Benzaid, Peter Gray, Eduard Marin, Antonios Makris, Luis Cordeiro, Ferran Diego, Pavel Sorokin, Marco Di Girolamo, and et al. 2023. "Security in Cloud-Native Services: A Survey" Journal of Cybersecurity and Privacy 3, no. 4: 758-793. https://doi.org/10.3390/jcp3040034

APA Style

Theodoropoulos, T., Rosa, L., Benzaid, C., Gray, P., Marin, E., Makris, A., Cordeiro, L., Diego, F., Sorokin, P., Girolamo, M. D., Barone, P., Taleb, T., & Tserpes, K. (2023). Security in Cloud-Native Services: A Survey. Journal of Cybersecurity and Privacy, 3(4), 758-793. https://doi.org/10.3390/jcp3040034

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