Enabling Digital Grid for Industrial Revolution: Self-Healing Cyber Resilient Platform

被引:3
|
作者
Al-Rubaye, Saba [1 ]
Rodriguez, Jonathan [2 ]
Al-Dulaimi, Anwer [3 ]
Mumtaz, Shahid [4 ]
Rodrigues, Joel J. P. C. [5 ,6 ,7 ]
机构
[1] Cranfield Univ, Sch Aerosp Transport & Mfg, Cranfield, Beds, England
[2] Univ South Wales, Mobile Commun, Pontypridd, M Glam, Wales
[3] EXFO, Ctr Excellence, Toronto, ON, Canada
[4] Inst Telecomunicaes Portugal, Lisbon, Portugal
[5] Natl Inst Telecommun, Santa Rita Do Sapucai, MG, Brazil
[6] Inst Telecomunicacoes, Lisbon, Portugal
[7] Univ Fed Piaui, Teresina, Piaui, Brazil
来源
IEEE NETWORK | 2019年 / 33卷 / 05期
关键词
Switches; Cyberattack; Resilience; Real-time systems; Power grids; Monitoring;
D O I
10.1109/MNET.2019.1800312
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Driving digital grid development to provide sustainable, reliable and secure network systems requires deploying a variety of applications against any potential cyber attacks. Therefore, there is an urgent demand to accelerate the development of an intelligent Software-Defined Networking (SDN) platform that can address the tremendous challenges of data protection for digital resiliency. Modern grid technology tends to adopt distributed SDN controllers for further slicing power grid domain and protect the boundaries of electric data at network edges. To facilitate these techniques, this article proposes an intelligent secure SDN controller for supporting digital grid resiliency, considering management coordination capability, self-healing features and recovery of network traffic forwarding during service interruptions. A set of advanced features are employed in grid controllers to configure the network elements in response to possible disasters or link failures. In addition, various SDN topology scenarios are introduced for efficient coordination and configurations of network domains. Finally, to justify the potential advantages of an intelligent secure SDN system, a case study is presented to evaluate the requirements of secure digital modern grid networks and pave the path toward the next phase of industry revolution.
引用
收藏
页码:219 / 225
页数:7
相关论文
共 9 条
  • [1] Self-healing and Resilient Critical Infrastructures
    Gustavsson, Rune
    Stahl, Bjorn
    CRITICAL INFORMATION INFRASTRUCTURES SECURITY, 2009, 5508 : 84 - 94
  • [2] A Bio-Inspired, Self-Healing, Resilient Architecture for Digital Instrumentation and Control Systems and Embedded Devices
    Khairullah, Shawkat S.
    Elks, Carl R.
    NUCLEAR TECHNOLOGY, 2018, 202 (2-3) : 141 - 152
  • [3] Securing the Transportation of Tomorrow: Enabling Self-Healing Intelligent Transportation
    Jackson, Elanor
    Sarvestani, Sahra Sedigh
    2023 IEEE 47TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE, COMPSAC, 2023, : 946 - 949
  • [4] Enhancing Cyber-Resilience in Self-Healing Cyber-Physical Systems with Implicit Guarantees
    Loh, Randolph
    Thing, Vrizlynn L. L.
    2023 IEEE INTERNATIONAL CONFERENCE ON CYBER SECURITY AND RESILIENCE, CSR, 2023, : 359 - 366
  • [5] Self-Healing Attack-Resilient PMU Network for Power System Operation
    Lin, Hui
    Chen, Chen
    Wang, Jianhui
    Qi, Junjian
    Jin, Dong
    Kalbarczyk, Zbigniew T.
    Iyer, Ravishankar K.
    IEEE TRANSACTIONS ON SMART GRID, 2018, 9 (03) : 1551 - 1565
  • [6] Advanced power system partitioning method for fast and reliable restoration: toward a self-healing power grid
    Golshani, Amir
    Sun, Wei
    Sun, Kai
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2018, 12 (01) : 42 - 52
  • [7] Enabling Self-healing Microgrids by the Improvement of Resiliency Using Closed Loop Virtual DC Motor and Induction Generator Control Scheme
    Kumar, Y. V. Pavan
    Bhimasingu, Ravikumar
    2016 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PESGM), 2016,
  • [8] Proactive and Reactive Maintenance Strategies for Self-Healing Digital Twin Islanded Microgrids Using Fuzzy Logic Controllers and Machine Learning Techniques
    Sifat, Md. Mhamud Hussen
    Das, Sajal K.
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2025, 40 (01) : 178 - 187
  • [9] Monitoring crack movement in polymer-based self-healing concrete through digital image correlation, acoustic emission analysis and SEM in-situ loading
    Feiteira, J.
    Tsangouri, E.
    Gruyaert, E.
    Lors, C.
    Louis, G.
    De Belie, N.
    MATERIALS & DESIGN, 2017, 115 : 238 - 246