  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.

Cryptography and Security