English

AI-Driven Container Security Approaches for 5G and Beyond: A Survey

Cryptography and Security 2025-06-18 v2

Abstract

The rising use of microservices based software deployment on the cloud leverages containerized software extensively. The security of applications running inside containers as well as the container environment itself are critical infrastructure in the cloud setting and 5G. To address the security concerns, research efforts have been focused on container security with subfields such as intrusion detection, malware detection and container placement strategies. These security efforts are roughly divided into two categories: rule based approaches and machine learning that can respond to novel threats. In this study, we have surveyed the container security literature focusing on approaches that leverage machine learning to address security challenges.

Keywords

Cite

@article{arxiv.2302.13865,
  title  = {AI-Driven Container Security Approaches for 5G and Beyond: A Survey},
  author = {Ilter Taha Aktolga and Elif Sena Kuru and Yigit Sever and Pelin Angin},
  journal= {arXiv preprint arXiv:2302.13865},
  year   = {2025}
}

Comments

14 pages, 2 tables, 1 figure, submitted to Special issue on AI-driven security in 5G and beyond

R2 v1 2026-06-28T08:50:41.204Z