A Framework for MAC Layer Wireless Intrusion Detection & Response for Smart Grid Applications

被引:0
|
作者
Talha, Batool [1 ,3 ]
Ray, Apala [2 ]
机构
[1] Silicon Labs Norway AS, Oslo, Norway
[2] ABB Global Ind & Serv Pvt Ltd, Indian Corp Res Ctr, Madras, Tamil Nadu, India
[3] ABB AS, Scandavian Corp Res Ctr, Oslo, Norway
关键词
REQUIREMENTS;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The next-generation electrical power system is focusing on reliable, automated, and secure power grid by using information and communication technology (ICT). To realize the new generation of power grid, the communication network is a decisive piece of the entire smart grid. Communication infrastructure in smart grids is a combination of both wired and wireless technologies. The salient features of wireless technology makes it attractive but the easy access to the radio medium in wireless communication increases the risk of security attacks. Consequently, the concern for cyber security has become an important issue to be addressed in a smart grid network. Intrusion detection and response to these intrusions in a timely manner is a way to improve system integrity. In this paper, we focus on a medium access control (MAC) layer intrusion detection system for wireless networks in smart grids. We propose a multi-level intrusion detection response system (IDRS) framework based on the perception of defense-in-depth. Through a simple simulation study, we verify the working of our proposed framework.
引用
收藏
页码:598 / 605
页数:8
相关论文
共 50 条
  • [1] An Intrusion Detection Framework for the Smart Grid
    Ullah, Imtiaz
    Mahmoud, Qusay H.
    [J]. 2017 IEEE 30TH CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE), 2017,
  • [2] A fog-based collaborative intrusion detection framework for smart grid
    Li, Wenjuan
    Au, Man Ho
    Wang, Yu
    [J]. INTERNATIONAL JOURNAL OF NETWORK MANAGEMENT, 2021, 31 (02)
  • [3] Model based Intrusion Detection System for Synchrophasor Applications in Smart Grid
    Khan, Rafiullah
    Albalushi, Abdullah
    McLaughlin, Kieran
    Laverty, David
    Sezer, Sakir
    [J]. 2017 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, 2017,
  • [4] Intrusion Detection Systems in Smart Grid
    Rakas, Slavica Bostjancic
    Timcenko, Valentina
    Kabovic, Milenko
    Kabovic, Anka
    [J]. 2022 21ST INTERNATIONAL SYMPOSIUM INFOTEH-JAHORINA (INFOTEH), 2022,
  • [5] An Observer Based Intrusion Detection Framework for Smart Inverters at the Grid-Edge
    Zhang, Zhen
    Easley, Mitchell
    Hosseinzadehtaher, Mohsen
    Amariucai, George
    Shadmand, Mohammad B.
    Abu-Rub, Haitham
    [J]. 2020 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2020, : 1957 - 1962
  • [6] Intrusion Detection on Critical Smart Grid Infrastructure
    Akbarian, Fatemeh
    Ramezani, Amin
    Hamidi-Beheshti, Mohammad-Taghi
    Haghighat, Vahid
    [J]. 2018 SMART GRID CONFERENCE (SGC), 2018, : 255 - 260
  • [7] A survey of intrusion detection systems in smart grid
    Jow, Julius
    Xiao, Yang
    Han, Wenlin
    [J]. INTERNATIONAL JOURNAL OF SENSOR NETWORKS, 2017, 23 (03) : 170 - 186
  • [8] Wireless intrusion detection and response
    Lim, YX
    Schmoyer, T
    Levine, J
    Owen, HL
    [J]. IEEE SYSTEMS, MAN AND CYBERNETICS SOCIETY INFORMATION ASSURANCE WORKSHOP, 2003, : 68 - 75
  • [9] Machine Learning Based Physical-Layer Intrusion Detection and Location for the Smart Grid
    Prasad, Gautham
    Huo, Yinjia
    Lampe, Lutz
    Leung, Victor C. M.
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CONTROL, AND COMPUTING TECHNOLOGIES FOR SMART GRIDS (SMARTGRIDCOMM), 2019,
  • [10] Intrusion Detection in Wireless Network of Smart Grid Using Intelligent Trust-Weight Method
    Singh, Neeraj Kumar
    Gupta, Praveen Kumar
    Mahajan, Vasundhara
    [J]. SMART SCIENCE, 2020, 8 (03) : 152 - 162