OTP-Based Software-Defined Cloud Architecture for Secure Dynamic Routing

In the current era,anyone can freely access the Internet thanks to the development of information and communication technology.The cloud is attracting attention due to its ability to meet continuous user demands for resources.Additionally,Cloud is effective for systems with large data flow such as the Internet of Things(IoT)systems and Smart Cities.Nonetheless,the use of traditional networking technology in the cloud causes network traffic overload and network security problems.Therefore,the cloud requires efficient networking technology to solve the existing challenges.In this paper,we propose one-time password-based software-defined cloud architecture for secure dynamic routing to mitigating the above-mention issues.The proposed cloud architecture provides a secure data path through dynamic routing using One-Time Internet Protocol(OTIP)algorithm between each layer.On the network side,we use software-defined technology to provide efficient network management and data security.We introduce a software-defined cloud architecture that applies OTIP algorithms for secure dynamic routing.We conduct a comparative analysis between general IP communication and proposed OTIP communication architecture.It evaluates the performance of OTIP algorithms.Finally,we examine the proposed software-defined cloud architecture,including how to apply OTIP in secure dynamic routing according to the results of the comparative analysis.

Mobile Fog Computing by Using SDN/NFV on 5G Edge Nodes

Abstract:Fog computing provides quality of service for cloud infrastructure.As the data computation intensifies,edge computing becomes difficult.Therefore,mobile fog computing is used for reducing traffic and the time for data computation in the network.In previous studies,software-defined networking(SDN)and network functions virtualization(NFV)were used separately in edge computing.Current industrial and academic research is tackling to integrate SDN and NFV in different environments to address the challenges in performance,reliability,and scalability.SDN/NFV is still in development.The traditional Internet of things(IoT)data analysis system is only based on a linear and time-variant system that needs an IoT data system with a high-precision model.This paper proposes a combined architecture of SDN and NFV on an edge node server for IoT devices to reduce the computational complexity in cloud-based fog computing.SDN provides a generalization structure of the forwarding plane,which is separated from the control plane.Meanwhile,NFV concentrates on virtualization by combining the forwarding model with virtual network functions(VNFs)as a single or chain of VNFs,which leads to interoperability and consistency.The orchestrator layer in the proposed software-defined NFV is responsible for handling real-time tasks by using an edge node server through the SDN controller via four actions:task creation,modification,operation,and completion.Our proposed architecture is simulated on the EstiNet simulator,and total time delay,reliability,and satisfaction are used as evaluation parameters.The simulation results are compared with the results of existing architectures,such as software-defined unified virtual monitoring function and ASTP,to analyze the performance of the proposed architecture.The analysis results indicate that our proposed architecture achieves better performance in terms of total time delay(1800 s for 200 IoT devices),reliability(90%),and satisfaction(90%).