Software‐Defined Networking for Cyber Resilience in Industrial Internet of Things (IIoT)

Software‐defined networking (SDN) is a networking paradigm to provide automated network management at run time through network orchestration and virtualization. SDN is primarily used for quality of service (QoS) and automated response to network failures. In the context of energy delivery systems (EDS), SDN can enable the Industrial Internet of Things (IIoT) that also enhance system resilience through recovery from failures and maintaining critical operations during cyberattacks. Researchers have proposed SDN‐based architectures for autonomous attack containment, which dynamically modifies access control rules based on configurable trust levels. One of the challenges with such architectures is the lack of a cost model to select the countermeasure which balances the trade‐off between security risk and network QoS. Before choosing a particular countermeasure which either quarantines the attack or mitigates the impact, it is also critical to assess the impact on the ability of the operator to conduct normal operations. In this chapter, we present an approach to aid in the selection of security countermeasures dynamically in an SDN platform based on IIoT technology‐enabled EDS and achieving a trade‐off between providing security and QoS. We present the modeling of security cost based on end‐to‐end packet delay and throughput. We propose a non‐dominated sorting‐based multi‐objective optimization framework which can be implemented within an SDN controller to address the joint problem of optimizing between security and QoS parameters by alleviating time complexity at O = (MN ²). The M is the number of objective functions and N is the number of population for each generation, respectively. We present simulation results which illustrate how data availability and data integrity can be achieved while maintaining QoS constraints.