Abstract
Abstract
The rapid growth of IoT devices, 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 IoT applications such as smart homes, autonomous vehicles and healthcare 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.