AI-Driven Container Security Approaches for 5G and Beyond: A Survey
February 27, 2023 ยท The Cartographer ยท ๐ ITU Journal on Future and Evolving Technologies
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"Title-pattern auto-detect: 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
arXiv ID
2302.13865
Category
cs.CR: Cryptography & Security
Citations
6
Venue
ITU Journal on Future and Evolving Technologies
Last Checked
3 days ago
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.
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