Low-Computational Complexity Intrusion Detection System for Jamming Attacks in Smart Grids

Brycent Chatfield; Rami J. Haddad; Lei Chen

doi:10.1109/ICCNC.2018.8390345

Low-Computational Complexity Intrusion Detection System for Jamming Attacks in Smart Grids

Brycent Chatfield
, Rami J. Haddad
, Lei Chen

Georgia Southern University

Research output: Contribution to book or proceeding › Conference article › peer-review

16 Scopus citations

Abstract

Transformation of the traditional power grid into a smart grid hosts an array of vulnerabilities associated with communication networks. Furthermore, wireless mediums used throughout the smart grid promote an environment where Denial of Service (DoS) attacks are very effective. In wireless mediums, jamming is the typical DoS attack technique employed to diminish system operations thus affecting smart grid stability. In this study, an intrusion detection system (IDS) is proposed to detect jamming attacks in the smart grid. This IDS algorithm analyzes received signal strength indicator (RSSI) and packet loss rate (PLR) of 802.11 network traffic in smart grid communication systems to detect jamming attacks. Experimental results corroborate theoretical analysis.

Original language	English
Title of host publication	2018 International Conference on Computing, Networking and Communications, ICNC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	367-371
Number of pages	5
ISBN (Electronic)	9781538636527
DOIs	https://doi.org/10.1109/ICCNC.2018.8390345
State	Published - Jun 19 2018
Event	2018 International Conference on Computing, Networking and Communications, ICNC 2018 - Maui, United States Duration: Mar 5 2018 → Mar 8 2018

Publication series

Name	2018 International Conference on Computing, Networking and Communications, ICNC 2018

Conference

Conference	2018 International Conference on Computing, Networking and Communications, ICNC 2018
Country/Territory	United States
City	Maui
Period	03/5/18 → 03/8/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Scopus Subject Areas

Computer Science Applications
Hardware and Architecture
Computer Networks and Communications

Keywords

Intrusion Detection System
Jamming
Smart grid

Access to Document

10.1109/ICCNC.2018.8390345

Cite this

Chatfield, B., Haddad, R. J., & Chen, L. (2018). Low-Computational Complexity Intrusion Detection System for Jamming Attacks in Smart Grids. In 2018 International Conference on Computing, Networking and Communications, ICNC 2018 (pp. 367-371). (2018 International Conference on Computing, Networking and Communications, ICNC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCNC.2018.8390345

Chatfield, Brycent ; Haddad, Rami J. ; Chen, Lei. / Low-Computational Complexity Intrusion Detection System for Jamming Attacks in Smart Grids. 2018 International Conference on Computing, Networking and Communications, ICNC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 367-371 (2018 International Conference on Computing, Networking and Communications, ICNC 2018).

@inproceedings{ee86f3b25dcb4a00a7b27f6d9a3c2c08,

title = "Low-Computational Complexity Intrusion Detection System for Jamming Attacks in Smart Grids",

abstract = "Transformation of the traditional power grid into a smart grid hosts an array of vulnerabilities associated with communication networks. Furthermore, wireless mediums used throughout the smart grid promote an environment where Denial of Service (DoS) attacks are very effective. In wireless mediums, jamming is the typical DoS attack technique employed to diminish system operations thus affecting smart grid stability. In this study, an intrusion detection system (IDS) is proposed to detect jamming attacks in the smart grid. This IDS algorithm analyzes received signal strength indicator (RSSI) and packet loss rate (PLR) of 802.11 network traffic in smart grid communication systems to detect jamming attacks. Experimental results corroborate theoretical analysis.",

keywords = "Intrusion Detection System, Jamming, Smart grid",

author = "Brycent Chatfield and Haddad, \{Rami J.\} and Lei Chen",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 International Conference on Computing, Networking and Communications, ICNC 2018 ; Conference date: 05-03-2018 Through 08-03-2018",

year = "2018",

month = jun,

day = "19",

doi = "10.1109/ICCNC.2018.8390345",

language = "English",

series = "2018 International Conference on Computing, Networking and Communications, ICNC 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "2018 International Conference on Computing, Networking and Communications, ICNC 2018",

address = "United States",

}

Chatfield, B, Haddad, RJ & Chen, L 2018, Low-Computational Complexity Intrusion Detection System for Jamming Attacks in Smart Grids. in 2018 International Conference on Computing, Networking and Communications, ICNC 2018. 2018 International Conference on Computing, Networking and Communications, ICNC 2018, Institute of Electrical and Electronics Engineers Inc., pp. 367-371, 2018 International Conference on Computing, Networking and Communications, ICNC 2018, Maui, United States, 03/5/18. https://doi.org/10.1109/ICCNC.2018.8390345

Low-Computational Complexity Intrusion Detection System for Jamming Attacks in Smart Grids. / Chatfield, Brycent; Haddad, Rami J.; Chen, Lei.
2018 International Conference on Computing, Networking and Communications, ICNC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 367-371 (2018 International Conference on Computing, Networking and Communications, ICNC 2018).

Research output: Contribution to book or proceeding › Conference article › peer-review

TY - GEN

T1 - Low-Computational Complexity Intrusion Detection System for Jamming Attacks in Smart Grids

AU - Chatfield, Brycent

AU - Haddad, Rami J.

AU - Chen, Lei

PY - 2018/6/19

Y1 - 2018/6/19

N2 - Transformation of the traditional power grid into a smart grid hosts an array of vulnerabilities associated with communication networks. Furthermore, wireless mediums used throughout the smart grid promote an environment where Denial of Service (DoS) attacks are very effective. In wireless mediums, jamming is the typical DoS attack technique employed to diminish system operations thus affecting smart grid stability. In this study, an intrusion detection system (IDS) is proposed to detect jamming attacks in the smart grid. This IDS algorithm analyzes received signal strength indicator (RSSI) and packet loss rate (PLR) of 802.11 network traffic in smart grid communication systems to detect jamming attacks. Experimental results corroborate theoretical analysis.

AB - Transformation of the traditional power grid into a smart grid hosts an array of vulnerabilities associated with communication networks. Furthermore, wireless mediums used throughout the smart grid promote an environment where Denial of Service (DoS) attacks are very effective. In wireless mediums, jamming is the typical DoS attack technique employed to diminish system operations thus affecting smart grid stability. In this study, an intrusion detection system (IDS) is proposed to detect jamming attacks in the smart grid. This IDS algorithm analyzes received signal strength indicator (RSSI) and packet loss rate (PLR) of 802.11 network traffic in smart grid communication systems to detect jamming attacks. Experimental results corroborate theoretical analysis.

KW - Intrusion Detection System

KW - Jamming

KW - Smart grid

UR - https://www.scopus.com/pages/publications/85050142846

U2 - 10.1109/ICCNC.2018.8390345

DO - 10.1109/ICCNC.2018.8390345

M3 - Conference article

AN - SCOPUS:85050142846

T3 - 2018 International Conference on Computing, Networking and Communications, ICNC 2018

SP - 367

EP - 371

BT - 2018 International Conference on Computing, Networking and Communications, ICNC 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 International Conference on Computing, Networking and Communications, ICNC 2018

Y2 - 5 March 2018 through 8 March 2018

ER -

Chatfield B, Haddad RJ , Chen L. Low-Computational Complexity Intrusion Detection System for Jamming Attacks in Smart Grids. In 2018 International Conference on Computing, Networking and Communications, ICNC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 367-371. (2018 International Conference on Computing, Networking and Communications, ICNC 2018). doi: 10.1109/ICCNC.2018.8390345

Low-Computational Complexity Intrusion Detection System for Jamming Attacks in Smart Grids

Abstract

Publication series

Conference

UN SDGs

Scopus Subject Areas

Keywords

Access to Document

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