Survey on Vulnerability Testing in the Smart Grid

被引:0
|
作者
Banik, Shampa [1 ]
Rogers, Michael [2 ]
Mahajan, Satish M. [3 ]
Emeghara, Chikezie M.
Banik, Trapa
Craven, Robert
机构
[1] Tennessee Technol Univ, Dept Comp Sci, Cookeville, TN 38505 USA
[2] TTU, Dept Elect & Comp Engn, Cookeville, TN 38505 USA
[3] Tennessee Technol Univ, USA Ctr Energy Syst Res CESR, Cookeville, TN 38505 USA
来源
IEEE ACCESS | 2024年 / 12卷
关键词
Smart grids; Testing; Cyberattack; Prevention and mitigation; Taxonomy; Information and communication technology; Network security; Smart grid; vulnerability; cyber-attack; taxonomy; simulation; cyber range; DEMAND-SIDE MANAGEMENT; INTRUSION DETECTION; SECURITY; SYSTEM; ATTACK; POWER; REQUIREMENTS; DEEP; CYBERSECURITY; MECHANISM;
D O I
10.1109/ACCESS.2024.3449642
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The rapid integration of Information and Communication Technology (ICT) is transforming the traditional electrical grid into a Smart Grid. Smart grids enable two-way communication and improved monitoring and control between utilities and customers. However, due to its heterogeneous nature, public exposure, and weak security at low-powered devices, the smart grid has vulnerabilities to various malicious threats, adversaries, and cyber attacks, which may affect cost and service availability. Additionally, when the systems' confidentiality, integrity, or availability are compromised, the resulting fallout can threaten national security and have cascading effects on human lives. Given the extreme consequences of an attack, smart-grid technology must be thoroughly tested for correct operation and security before it is deployed. As a result, vulnerability testing of smart grids, not only for correctness but for security purposes, has been the subject of numerous studies by academics, government agencies, and private companies. The survey identifies key cyber and physical vulnerabilities that pose significant risks to load management applications and overall grid stability. It also presents a broad spectrum of potential cyber threats and attacks targeting the grid with various mitigation techniques and spotlights simulation as the vulnerability testing methodology conducted in recent pertinent research works. Finally, we analyze the gaps in the current research, focusing on integrating cybersecurity analysis in simulation. We then recommend future research directions focused on smart grid cyber ranges.
引用
收藏
页码:119146 / 119173
页数:28
相关论文
共 50 条
  • [21] A survey on the communication architectures in smart grid
    Wang, Wenye
    Xu, Yi
    Khanna, Mohit
    COMPUTER NETWORKS, 2011, 55 (15) : 3604 - 3629
  • [22] Smart Grid Security: Survey and Challenges
    Lieskovan, Tomas
    Hajny, Jan
    Cika, Petr
    2019 11TH INTERNATIONAL CONGRESS ON ULTRA MODERN TELECOMMUNICATIONS AND CONTROL SYSTEMS AND WORKSHOPS (ICUMT), 2019,
  • [23] A Survey of Research on Smart Grid Security
    Zhou, Lin
    Chen, Shiping
    NETWORK COMPUTING AND INFORMATION SECURITY, 2012, 345 : 395 - 405
  • [24] Survey of Development and Technology of Smart Grid
    Zhou, Xuesong
    Shang, Bin
    Ma, Youjie
    AUTOMATIC MANUFACTURING SYSTEMS II, PTS 1 AND 2, 2012, 542-543 : 328 - 330
  • [25] A Survey on Energy Trading in Smart Grid
    Bayram, I. Safak
    Shakir, Muhammad Z.
    Abdallah, Mohamed
    Qaraqe, Khalid
    2014 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP), 2014, : 258 - 262
  • [26] Survey on new energy of smart grid
    Ma, Youjie
    Ma, Buyun
    Zhou, Xuesong
    ADVANCED DESIGN TECHNOLOGY, PTS 1-3, 2011, 308-310 : 428 - 431
  • [27] A survey on smart grid technologies and applications
    Dileep, G.
    RENEWABLE ENERGY, 2020, 146 (146) : 2589 - 2625
  • [28] Survey on Vulnerability Detection Technology of Smart Contracts
    Dong W.-L.
    Liu Z.
    Liu K.
    Li L.
    Ge C.-P.
    Huang Z.-Q.
    Ruan Jian Xue Bao/Journal of Software, 2024, 35 (01): : 38 - 62
  • [29] Smart Contract Vulnerability Detection Technique: A Survey
    Qian P.
    Liu Z.-G.
    He Q.-M.
    Huang B.-T.
    Tian D.-Z.
    Wang X.
    Ruan Jian Xue Bao/Journal of Software, 2022, 33 (08): : 3059 - 3085
  • [30] Modeling the Uncertainties in Renewable Generation and Smart Grid Loads for the Study of the Grid Vulnerability
    Athari, Mir Hadi
    Wang, Zhifang
    2016 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT), 2016,