Enhancing DICOM Security in Medical Imaging Networks Using Software-Defined Networking

In this study, we perform an in-depth analysis of Digital Imaging and Communications in Medicine (DICOM) security. The study begins by offering an overview of DICOM standards from a security standpoint. A comparative evaluation of selected DICOM techniques is provided, considering not only technical performance metrics but also implementation feasibility and complexity. Beyond the protocol-level analysis, we propose an experimental framework that leverages Software-Defined Networking (SDN) to optimize the transport of DICOM traffic across hospital networks. As the volume of medical imaging data continues to grow and the demand for real-time diagnostic access increases, traditional network architectures face limitations in delivering timely and reliable performance. In response, our experiment simulates a healthcare network environment in which DICOM traffic is dynamically prioritized using an SDN controller based on OpenFlow rules. Performance metrics including end-to-end latency, packet loss, and delivery time are collected and compared with and without SDN flow-based prioritization, under controlled background congestion. The results demonstrate how SDNdriven traffic engineering can significantly enhance Quality of Service (QoS) for critical healthcare applications. By combining DICOM security considerations with programmable network optimization, this work contributes a holistic approach to strengthening both the protection and performance of imaging workflows in clinical environments.