Koksal, SarpCatak, Ferhat OzgurDalveren, Yaser2024-12-052024-12-0520242169-353610.1109/ACCESS.2024.35011922-s2.0-85210290226https://doi.org/10.1109/ACCESS.2024.3501192https://hdl.handle.net/20.500.14411/10283Mobile Edge Computing (MEC) has a significant potential to become more prevalent in Fifth Generation (5G) networks, requiring resource management that is lightweight, agile, and dynamic. Container-based virtualization platforms, such as Kubernetes, have emerged as key enablers for MEC environments. However, network security and data privacy remain significant concerns, particularly due to Distributed Denial-of-Service (DDoS) attacks that threaten the massive connectivity of end-devices. This study proposes a defense mechanism to mitigate DDoS attacks in container-based MEC networks using Kubernetes. The mechanism dynamically scales Containerized Network Functions (CNFs) with auto-scaling through an Intrusion Detection and Prevention System (IDPS). The architecture of the proposed mechanism leverages distributed edge clusters and Kubernetes to manage resources and balance the load of IDPS CNFs. Experiments conducted in a real MEC environment using OpenShift and Telco-grade MEC profiles demonstrate the effectiveness of the proposed mechanism against Domain Name System (DNS) flood and Yo-Yo attacks. Results also verify that Kubernetes efficiently meets the lightweight, agile, and dynamic resource management requirements of MEC networks.eninfo:eu-repo/semantics/closedAccessServersDenial-of-service attackCloud computingComputer crimeResource managementPrevention and mitigationDynamic schedulingQuality of serviceImage edge detectionComputer architectureContainerized network functions (CNF)distributed denial-of-service (DDoS)floodintrusion detection prevention system (IDPS)Kubernetesmobile edge computing (MEC)Yo-YoArticleQ2Q112172980172991WOS:0013620798000120