Preprint Article Version 1 This version is not peer-reviewed

Secure IoT Network Structure Based on Distributed Fog Computing, with SDN/Blockchain

Version 1 : Received: 29 January 2019 / Approved: 30 January 2019 / Online: 30 January 2019 (07:17:57 CET)

A peer-reviewed article of this Preprint also exists.

Muthanna, A.; A. Ateya, A.; Khakimov, A.; Gudkova, I.; Abuarqoub, A.; Samouylov, K.; Koucheryavy, A. Secure and Reliable IoT Networks Using Fog Computing with Software-Defined Networking and Blockchain. J. Sens. Actuator Netw. 2019, 8, 15. Muthanna, A.; A. Ateya, A.; Khakimov, A.; Gudkova, I.; Abuarqoub, A.; Samouylov, K.; Koucheryavy, A. Secure and Reliable IoT Networks Using Fog Computing with Software-Defined Networking and Blockchain. J. Sens. Actuator Netw. 2019, 8, 15.

Journal reference: J. Sens. Actuator Netw. 2019, 8, 15
DOI: 10.3390/jsan8010015

Abstract

IoT is a new communication paradigm that gains a very high importance in the past few years. This communication paradigm supports various heterogeneous applications in many fields and with the dramatic increase of the number of sensor devices, it becomes a demand. Designing IoT networks faces many challenges that include security, massive traffic, high availability, high reliability and energy constraints. Thus, new communication technologies and paradigms should be deployed for IoT networks to overcome these challenges and achieve high system performance. Distributed computing techniques (e.g. fog and MEC), software defined networking (SDN), network virtualization and blockchain are common recent paradigms that should be deployed for IoT networks, either combined or individually, to achieve the main requirements of the IoT networks at a high system performance. Fog computing is a form of edge computing that has been developed to provide the computing capabilities (e.g. storage and processing) at the edge of the access network. Employing Fog computing in IoT networks, as an intermediate layer between IoT devices and the remote cloud, becomes a demand to make use of the edge computing benefits. In this work, we provide a framework for the IoT system structure that employs an edge computing layer of Fog nodes controlled and managed by SDN network with the blockchain technology to achieve a high level of security for latency sensitive IoT applications. The proposed system employs SDN network with distributed controllers and distributed OpenFlow switches; these switches are enabled with limited computing and processing capabilities.  Furthermore, a data offloading algorithm is developed to allocate different processing and computing tasks to the distributed OpenFlow switches with available resources. Moreover, a traffic model is proposed to model and analyze the traffic among different parts of the network. The proposed work achieves various benefits to the IoT network, such as the latency reduction, security improvement and high efficiency of resources utilization. The proposed algorithm is simulated and also the proposed system is experimentally tested over a developed testbed to validate the proposed structure. Experimental results show that the proposed system achieves higher efficiency in terms of latency, security and resource utilization.

Subject Areas

Internet of Things; fog computing; security; blockchain; traffic; latency; SDN; OpenFlow

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