High performance intrusion prevention for software-defined container networks

Date

2024-10-25

Author

Yaltırık, Yalgınay

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The rapid growth of Internet of Things, along with advancements in mobile networks, big data and cloud computing has increased the need for faster and more reliable networks. Software-Defined Networks have become crucial to meeting the performance needs of applications such as smart homes, autonomous vehicles and remote health-care services. Simultaneously, microservice architectures in cloud computing have become more valuable due to the flexibility and efficiency of containers. As more container-based applications are used, the risk of cyberattacks targeting these networks has also risen. This thesis presents an intrusion prevention model designed for software-defined container networks. The model includes a system for collecting traffic data from containers and a health monitoring module aimed at stopping detected security threats. By continuously monitoring the network and responding to potential attacks, this approach offers an efficient and scalable solution to protect container-based cloud environments from increasing cybersecurity risks.

Subject Keywords

Container security, Software defined network, Cyberattacks on containers, Google Kubernetes Engine, Intrusion prevention

URI

https://hdl.handle.net/11511/112396

Collections

Graduate School of Natural and Applied Sciences, Thesis