With the fast growth of the Internet of Medical Things (IoMT), security in IoMT communication remains a critical and significant concern. Edge/fog-based communications for IoMT systems involve the use of wireless communication while connecting the devices to the edge/fog network, which is vulnerable to physical node attacks in which there is always a security risk that allows an attacker to launch an internal attack. In this paper, we address this concern of vulnerability and propose an architecture named — Reputation Aware IoMT Service Provisioning Using SDN (RISP-SDN) architecture, which is a trust model incorporating reputation scores to enhance security and improve latency in low-powered computation scenarios for IoMT. The system architecture uses different subnets of a single network with OpenFlow-enabled software and hardware switches, OpenFlow controller, validator, and reputation nodes. RISP-SDN also includes a mechanism for attack mitigation, enabling the preservation of network integrity and preventing malicious activities. Experimental results show that the proposed model gives enhanced results in terms of latency and use of storage units. Also, the model keeps the percentage of successful attacks such as Denial-of-service (DoS) and Man-in-the-Middle Attacks (MITM) kept under 50%.

With the incorporation of Internet of Things (IoT) in healthcare systems immense new possibilities have emerged in the modern healthcare services. In recent times where people around the globe are suffering from the Covid-19 pandemic, providing remote healthcare services maintaining necessary social distancing through e-Healthcare has become an urgent priority. e-Healthcare services like patient's real-time health monitoring, exchange of electronic health reports, tele-consultation, remote surgery etc. require reliable and timely delivery of data and responses. To provide for such critical requirements it is essential to prioritize the forwarding of different types of data varies based on their throughput requirements and the delay sensitivities. In this paper, we study the network Quality of Service (QoS) control mechanism for e-Health services using the Software-Defined Networking (SDN) approach in a Fog based Healthcare Environment. We distinguish the data generated from various types of devices into priority classes looking at their priorities, throughput and privacy requirements in the application. Hence, we propose, OpenHealthQ, an OpenFlow based traffic shaping model using OpenFlow Queues to handle the healthcare data. OpenHealthQ provides a secure, on-demand and low-cost access to Healthcare 4.0's most demanding computing infrastructure in a distributed cloud architecture with SDN based fog nodes at the network's edge. Experimental studies show that OpenHealthQ is capable of reducing response time of the end host and significant increase in network throughput compared to the Best-Effort (BE) approach.