Software-defined networking in cyber-physical systems: A survey

Molina, Elías; Jacob, Eduardo

doi:10.1016/j.compeleceng.2017.05.013

Cited by 89 publications

(50 citation statements)

References 10 publications

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“…Very recently, an article is published [76], but the focus in on machine-tomachine (M2M) communication in SDN based smart energy management. Another recent article is published [78], however, it focus on cyber physical systems in general and have not provided in-depth discussion of applying SDN into SG systems. Thus, our article presents an up-to-date comprehensive review of SDN based SG, including advantages, architectures, routing, and security schemes.…”

Section: Comparison With Related Survey Articlesmentioning

confidence: 99%

Software Defined Networks-Based Smart Grid Communication: A Comprehensive Survey

Rehmani

Davy

Jennings

et al. 2019

IEEE Commun. Surv. Tutorials

171

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The current power grid is no longer a feasible solution due to ever-increasing user demand of electricity, old infrastructure, and reliability issues and thus require transformation to a better grid a.k.a., smart grid (SG). The key features that distinguish SG from the conventional electrical power grid are its capability to perform two-way communication, demand side management, and real time pricing. Despite all these advantages that SG will bring, there are certain issues which are specific to SG communication system. For instance, network management of current SG systems is complex, time consuming, and done manually. Moreover, SG communication (SGC) system is built on different vendor specific devices and protocols. Therefore, the current SG systems are not protocol independent, thus leading to interoperability issue. Software defined network (SDN) has been proposed to monitor and manage the communication networks globally. By separating the control plane from the data plane, SDN helps the network operators to manage the network flexibly. Since SG heavily relies on communication networks, therefore, SDN has also paved its way into the SG. By applying SDN in SG systems, efficiency and resiliency can potentially be improved. SDN, with its programmability, protocol independence, and granularity features, can help the SG to integrate different SG standards and protocols, to cope with diverse communication systems, and to help SG to perform traffic flow orchestration and to meet specific SG quality of service requirements. This article serves as a comprehensive survey on SDN-based SGC. In this article, we first discuss taxonomy of advantages of SDNbased SGC. We then discuss SDN-based SGC architectures, along with case studies. Our article provides an in-depth discussion on routing schemes for SDN-based SGC. We also provide detailed survey of security and privacy schemes applied to SDN-based SGC. We furthermore present challenges, open issues, and future research directions related to SDN-based SGC. Index Terms-Software defined network (SDN), smart grid (SG), advanced metering infrastructure (AMI), renewable energy resources (RERs), home area networks (HANs), network management.

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Section: Comparison With Related Survey Articlesmentioning

confidence: 99%

Software Defined Networks-Based Smart Grid Communication: A Comprehensive Survey

Rehmani

Davy

Jennings

et al. 2019

IEEE Commun. Surv. Tutorials

171

View full text Add to dashboard Cite

show abstract

“…Following the same procedure for the patient info requests and allocating R req = 128 bytes at L1 and taking the periodicity of 200 ms into account, the arrivals are bounded by A L2,req (t) = [R req /200t + R req ] + . The leftover service remaining after the device alarms in the high-priority queue have been served is given by (8) as…”

Section: A Use Case Analysismentioning

confidence: 99%

“…Finally, the increased system complexity also poses a challenge in managing the network and in particular the end-to-end QoS. This necessitates programmability of the network, as well as a framework for analyzing the end-to-end network characteristics [3], [8].…”

Section: Introductionmentioning

confidence: 99%

“…However, due to the advantages of SDN in regard to manageability and flexibility, several SDN-based architectures for industrial networks and cyber-physical systems have been proposed recently, see e.g. [8], [19], [20] and references therein. Analysis of end-to-end QoS in SDN-based industrial networks using network calculus has been treated in [21]- [23] which also study algorithms for queue allocation and admission control in priority queue networks.…”

Section: Introductionmentioning

confidence: 99%

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Network Slicing in Industry 4.0 Applications: Abstraction Methods and End-to-End Analysis

Kalør

Guillaume

Nielsen

et al. 2018

IEEE Trans. Ind. Inf.

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Industry 4.0 introduces modern communication and computation technologies such as cloud computing and Internet of Things to industrial manufacturing systems. As a result, many devices, machines and applications will rely on connectivity, while having different requirements to the network, ranging from high reliability and low latency to high data rates. Furthermore, these industrial networks will be highly heterogeneous as they will feature a number of diverse communication technologies. Current technologies are not well suited for this scenario, which requires that the network is managed at an abstraction level which is decoupled from the underlying technologies. In this paper, we consider network slicing as a mechanism to handle these challenges. We present methods for slicing deterministic and packet-switched industrial communication protocols which simplifies the manageability of heterogeneous networks with various application requirements. Furthermore, we show how to use network calculus to assess the end-to-end properties of the network slices.

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“…Moreover, they can use it to access video streaming services, read news feeds, subscribe to online foreign exchange markets and many others things [2]. In addition to the basic services, new emerging technologies such as the Internet of Things (IoT) and Software Defined Networks (SDN) make use of computer networks to accomplish their goals [3], [4].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Genetic-FSM Technique for Detection of High-Volume DoS Attack

Nafie¹,

Adel²,

Abounaser³

et al. 2019

IJACSA

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Insecure networks are vulnerable to cyber-attacks, which may result in catastrophic damages on the local and global scope. Nevertheless, one of the tedious tasks in detecting any type of attack in a network, including DoS attacks, is to determine the thresholds required to discover whether an attack is occurring or not. In this paper, a hybrid system that incorporates different heuristic techniques along with a Finite State Machine is proposed to detect and classify DoS attacks. In the proposed system, a Genetic Programming technique combined with a Genetic Algorithm are designed and implemented to represent the system core that evolves an optimized tree-based detection model. A Hill-Climbing technique is also employed to enhance the system by providing a reference point value for evaluating the optimized model and gaining better performance. Several experiments with different configurations are conducted to test the system performance using a synthetic dataset that mimics real-world network traffic with different features and scenarios. The developed system is compared to many state-of-art techniques with respect to several performance metrics. Additionally, a Mann-Whitney Wilcoxon test is conducted to validate the accuracy of the proposed system. The results show that the developed system succeeds in achieving higher overall performance and prove to be statistically significant.

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Software-defined networking in cyber-physical systems: A survey

Cited by 89 publications

References 10 publications

Software Defined Networks-Based Smart Grid Communication: A Comprehensive Survey

Software Defined Networks-Based Smart Grid Communication: A Comprehensive Survey

Network Slicing in Industry 4.0 Applications: Abstraction Methods and End-to-End Analysis

Hybrid Genetic-FSM Technique for Detection of High-Volume DoS Attack

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