Opportunities for Software-Defined Networking in Smart Grid

Zhang, Jianchao; Seet, Boon‐Chong; Lie, Tek-Tjing; Foh, Chuan Heng

doi:10.1109/icics.2013.6782793

Cited by 26 publications

(4 citation statements)

References 13 publications

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“…Several studies [16][17][18][19] propose exploring the configurability of SDN switches in realtime to enhance the overall QoS of SDN. Maintaining network resilience in the face of unintentional failures and malicious attacks is a significant factor for critical infrastructures such as power grids and industrial CPS [20].…”

Section: Introductionmentioning

confidence: 99%

ML-Based Delay Attack Detection and Isolation for Fault-Tolerant Software-Defined Industrial Networks

Ramani

Jhaveri

2022

Sensors

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Traditional security mechanisms find difficulties in dealing with intelligent assaults in cyber-physical systems (CPSs) despite modern information and communication technologies. Furthermore, resource consumption in software-defined networks (SDNs) in industrial organizations is usually on a larger scale, and the present routing algorithms fail to address this issue. In this paper, we present a real-time delay attack detection and isolation scheme for fault-tolerant software-defined industrial networks. The primary goal of the delay attack is to lower the resilience of our previously proposed scheme, SDN-resilience manager (SDN-RM). The attacker compromises the OpenFlow switch and launches an attack by delaying the link layer discovery protocol (LLDP) packets. As a result, the performance of SDN-RM is degraded and the success rate decreases significantly. In this work, we developed a machine learning (ML)-based attack detection and isolation mechanism, which extends our previous work, SDN-RM. Predicting and labeling malicious switches in an SDN-enabled network is a challenge that can be successfully addressed by integrating ML with network resilience solutions. Therefore, we propose a delay-based attack detection and isolation scheme (DA-DIS), which avoids malicious switches from entering the routes by combining an ML mechanism along with a route-handoff mechanism. DA-DIS increases network resilience by increasing success rate and network throughput.

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Section: Introductionmentioning

confidence: 99%

ML-Based Delay Attack Detection and Isolation for Fault-Tolerant Software-Defined Industrial Networks

Ramani

Jhaveri

2022

Sensors

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“…It proposes a flexible, effective, and reliable network framework that abstracts the control plan from the packet forwarding hardware (data plane) to an external software controller [14,15]. Therefore, SDN is perceived to have tremendous potential for utilization in the communication network of the energy Internet.…”

Section: Related Work Of Communication Network Frameworkmentioning

confidence: 99%

SDN-Enabled Communication Network Framework for Energy Internet

Sun

Cheng

et al. 2017

Journal of Computer Networks and Communications

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To support distributed energy generators and improve energy utilization, energy Internet has attracted global research focus. In China, energy Internet has been proposed as an important issue of government and institutes. However, managing a large amount of distributed generators requires smart, low-latency, reliable, and safe networking infrastructure, which cannot be supported by traditional networks in power grids. In order to design and construct smart and flexible energy Internet, we proposed a software defined network framework with both microgrid cluster level and global grid level designed by a hierarchical manner, which will bring flexibility, efficiency, and reliability for power grid networks. Finally, we evaluate and verify the performance of this framework in terms of latency, reliability, and security by both theoretical analysis and real-world experiments.

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“…Critical Infrastructures (CIs) are becoming more complex and vulnerable due to the integration of modern information and telecommunication technologies in the service management layer. Smart grids, intelligent transportation systems, and smart factories are examples of CIs that incorporate a programmable communication network [1] [2]. These CIs are implemented as distributed CCPSs where the physical assets are associated with software applications for sensing, supervision, and control.…”

mentioning

confidence: 99%

Towards Cross-Domain Resilience in Interdependent Power and ICT Infrastructures: A Failure Modes and Effects Analysis of an SDN-enabled Smart Power Grid

Sayad,

Lemoine,

Barros

et al. 2023

Proceeding of the 33rd European Safety and Reliability Conference

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The adoption of cloud-native technologies like the Software Defined Networking (SDN) paradigm, into the management of Critical Cyber-Physical System (CCPS)'s monitoring and control functions, leads to the emergence of complex interdependencies between the cyber and physical domains, which would increase the risk of cascading failure, especially in the cyberdomain represented by edge Data Center (DC) networks. These Edge DCs host critical software services characterized by high dependability and performance requirements. The downtime of such services has a considerable impact that may destabilize socioeconomic well-being. In this work, we provide a failure modes analysis of an SDN-enbaled Smart Power Grid (SD-SPG) with a focus on the subsystems involved in cross-domain failure propagation. The objective of the analysis is to establish the causal effect between subsystem failure modes that may lead to cross-domain failure cascades. Then, we focus on the evaluation of Steady State Availability (SSA) metric under different interaction scenarios between the power and telecommunication subsystems. To this end, we propose a hierarchical modeling framework combining continuous-time Markov chains (CTMCs) and Reliability Block Diagram (RBD)s to capture both, subsystems and complex systems' steady-state behavior.

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Opportunities for Software-Defined Networking in Smart Grid

Cited by 26 publications

References 13 publications

ML-Based Delay Attack Detection and Isolation for Fault-Tolerant Software-Defined Industrial Networks

ML-Based Delay Attack Detection and Isolation for Fault-Tolerant Software-Defined Industrial Networks

SDN-Enabled Communication Network Framework for Energy Internet

Towards Cross-Domain Resilience in Interdependent Power and ICT Infrastructures: A Failure Modes and Effects Analysis of an SDN-enabled Smart Power Grid

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