Analysis of Cyber Security Attacks and Its Solutions for the Smart grid Using Machine Learning and Blockchain Methods

被引:47
|
作者
Mazhar, Tehseen [1 ]
Irfan, Hafiz Muhammad [2 ]
Khan, Sunawar [2 ]
Haq, Inayatul [3 ]
Ullah, Inam [4 ]
Iqbal, Muhammad [5 ]
Hamam, Habib [6 ,7 ,8 ,9 ]
机构
[1] Virtual Univ Pakistan, Dept Comp Sci, Lahore 51000, Pakistan
[2] Islamia Univ Bahawalpur, Dept Comp Sci, Bahawalnagar 62300, Pakistan
[3] Zhengzhou Univ, Sch Informat Engn, Zhengzhou 450001, Peoples R China
[4] Chungbuk Natl Univ, Chungbuk Informat Technol Educ & Res Ctr BK21, Cheongju 28644, South Korea
[5] Gomal Univ, Inst Comp & Informat Technol, Dera Ismail Khan 29220, Pakistan
[6] Univ Moncton, Fac Engn, Moncton, NB E1A3E9, Canada
[7] Spectrum Knowledge Prod & Skills Dev, Sfax 3027, Tunisia
[8] Int Inst Technol & Management, Libreville, Gabon
[9] Univ Johannesburg, Sch Elect Engn, Dept Elect & Elect Engn Sci, ZA-2006 Johannesburg, South Africa
基金
加拿大自然科学与工程研究理事会;
关键词
smart grid; cyber security; cyberattacks; machine learning; deep learning; data mining; MODEL; MICROGRIDS; ENSEMBLE; DEFENSE; PEER;
D O I
10.3390/fi15020083
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Smart grids are rapidly replacing conventional networks on a worldwide scale. A smart grid has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the most challenging things to stop. The biggest problem is caused by millions of sensors constantly sending and receiving data packets over the network. Cyberattacks can compromise the smart grid's dependability, availability, and privacy. Users, the communication network of smart devices and sensors, and network administrators are the three layers of an innovative grid network vulnerable to cyberattacks. In this study, we look at the many risks and flaws that can affect the safety of critical, innovative grid network components. Then, to protect against these dangers, we offer security solutions using different methods. We also provide recommendations for reducing the chance that these three categories of cyberattacks may occur.
引用
收藏
页数:37
相关论文
共 50 条
  • [31] Cyber Risk Analysis for a Smart Grid: How Smart is Smart Enough? A Multiarmed Bandit Approach to Cyber Security Investment
    Smith, Matthew David
    Pate-Comell, M. Elisabeth
    IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 2018, 65 (03) : 434 - 447
  • [32] Classification of smart grid stability prediction using cascade machine learning methods and the internet of things in smart grid
    Önder, Mithat
    Dogan, Muhsin Ugur
    Polat, Kemal
    NEURAL COMPUTING & APPLICATIONS, 2023, 35 (24) : 17851 - 17869
  • [33] Learning-Based Methods for Cyber Attacks Detection in IoT Systems: A Survey on Methods, Analysis, and Future Prospects
    Inayat, Usman
    Zia, Muhammad Fahad
    Mahmood, Sajid
    Khalid, Haris M.
    Benbouzid, Mohamed
    ELECTRONICS, 2022, 11 (09)
  • [34] Transformation of Smart Grid using Machine Learning
    Azad, Salahuddin
    Sabrina, Fariza
    Wasimi, Saleh
    2019 29TH AUSTRALASIAN UNIVERSITIES POWER ENGINEERING CONFERENCE (AUPEC), 2019,
  • [35] A review on machine learning techniques for secured cyber-physical systems in smart grid networks
    Hasan, Mohammad Kamrul
    Abdulkadir, Rabiu Aliyu
    Islam, Shayla
    Gadekallu, Thippa Reddy
    Safie, Nurhizam
    ENERGY REPORTS, 2024, 11 : 1268 - 1290
  • [36] Comparative Analysis of Cyber Security Approaches Using Machine Learning in Industry 4.0
    Cebeloglu, F. Sumeyye
    Karakose, Mehmet
    2020 6TH IEEE INTERNATIONAL SYMPOSIUM ON SYSTEMS ENGINEERING (IEEE ISSE 2020), 2020,
  • [37] Cyber security for fog-based smart grid SCADA systems: Solutions and challenges
    Ferrag, Mohamed Amine
    Babaghayou, Messaoud
    Yazici, Mehmet Akif
    JOURNAL OF INFORMATION SECURITY AND APPLICATIONS, 2020, 52
  • [38] Internet of Things Cyber Attacks Detection using Machine Learning
    Alsamiri, Jadel
    Alsubhi, Khalid
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2019, 10 (12) : 627 - 634
  • [39] Renewable energy management in smart grid with cloud security analysis using multi agent machine learning model
    Yang, Zhuang
    COMPUTERS & ELECTRICAL ENGINEERING, 2024, 116
  • [40] Smart Grid Cyber Security Enhancement: Challenges and Solutions-A Review
    Alsuwian, Turki
    Butt, Aiman Shahid
    Amin, Arslan Ahmed
    SUSTAINABILITY, 2022, 14 (21)