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

February 27, 2023 ยท The Cartographer ยท ๐Ÿ› ITU Journal on Future and Evolving Technologies

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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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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