AI-Driven Container Security Approaches for 5G and Beyond: A Survey
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2023
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| _version_ | 1866915347132579840 |
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| author | Aktolga, Ilter Taha Kuru, Elif Sena Sever, Yigit Angin, Pelin |
| author_facet | Aktolga, Ilter Taha Kuru, Elif Sena Sever, Yigit Angin, Pelin |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2302_13865 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | AI-Driven Container Security Approaches for 5G and Beyond: A Survey Aktolga, Ilter Taha Kuru, Elif Sena Sever, Yigit Angin, Pelin Cryptography and Security 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. |
| title | AI-Driven Container Security Approaches for 5G and Beyond: A Survey |
| topic | Cryptography and Security |
| url | https://arxiv.org/abs/2302.13865 |