A Blockchain-Assisted Authentication for SDN-IoT Network Using Smart Contract Birglang Bargayary, Nabajyoti Medhi 2023 4th International Conference on Computing and Communication Systems I3cs 2023, 2023 The Internet of Things (IoT) is a rapidly growing technology due to the demand for automation in various industries, such as healthcare, manufacturing, and home automation etc. As IoT devices continue to proliferate, authentication and access control remain a major challenge. By verifying the identity of the device and the user, authentication helps prevent fraudulent activities and ensure that the IoT data is not tampered with. The existing works are dependent on a centralized server which can become overwhelmed by large users, making them difficult to scale. In this work, we greatly utilize the characteristics of Blockchain to authenticate the user in the Software-Defined Network based IoT (SDN-IoT) network. The SDN provides centralized management of growing IoT devices. Blockchain is a decentralised and tamper-proof method for storing and sharing authentication information making it suitable for the system. We generate a digital token for each device access request through Smart Contract. The token manager on the Smart Contract validates the token for each user before giving access to it. The Smart Contract can revoke the token on unsuccessful authentication from the user to avoid an attack on the system. We conduct an experiment on the potency of the proposed work by testing the Smart Contract based on authentication delay, transaction cost and ability to resist the attack. The experiment result shows that the proposed work is a promising solution for authentication in SDN-IoT networks.
OpenHealthQ: OpenFlow based QoS management of Healthcare Data in a Software-Defined Fog environment Priyanka Bardalai, Nabajyoti Medhi, Birglang Bargayary, Dilip Kumar Saikia IEEE International Conference on Communications, 2021 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.
