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AI-driven container security approaches for 5G and beyond: A survey
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Authors: Ilter Taha Aktolga, Elif Sena Kuru, Yigit Sever, Pelin Angin
Status: Final
Date of publication: 23 June 2023
Published in: ITU Journal on Future and Evolving Technologies, Volume 4 (2023), Issue 2, Pages 364-382
Article DOI : https://doi.org/10.52953/ZRCK3746
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Abstract:
The rising use of microservice-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 for infrastructure in cloud settings and 5G. To address 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 survey the container security literature focusing on approaches that leverage machine learning to address security challenges. |
Keywords: Anomaly detection, container, intrusion detection, machine learning
Rights: © International Telecommunication Union, available under the CC BY-NC-ND 3.0 IGO license.
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