RSSI-based spoofing detection in smart grid IEEE 802.11 home area networks

Brycent Chatfield; Rami J. Haddad

doi:10.1109/ISGT.2017.8086064

RSSI-based spoofing detection in smart grid IEEE 802.11 home area networks

Brycent Chatfield
, Rami J. Haddad

Electrical & Computer Engineering

Georgia Southern University

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

8 Scopus citations

Abstract

The smart grid concept has compelled researchers to investigate cybersecurity approaches for infrastructure stability. Wireless mediums represent the backbone of communications in the smart grid especially for Home Area Networks (HAN). Increased connectivity brings about an inheritance of vulnerabilities associated with wireless networks. In particular, spoofing attacks poses an immediate threat to Confidentiality, Integrity, and Availability (CIA). In this study, an intrusion detection system (IDS) algorithm is proposed in which received signal strength indicator (RSSI) is analyzed by means of cosine similarity and data sectoring to detect spoofing attacks in smart grid 802.11 HANs. The detection accuracies are recorded at different spoofing distances and threshold levels.

Original language	English
Title of host publication	2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538628904
DOIs	https://doi.org/10.1109/ISGT.2017.8086064
State	Published - Oct 26 2017
Event	2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017 - Washington, United States Duration: Apr 23 2017 → Apr 26 2017

Publication series

Name	2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017

Conference

Conference	2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017
Country/Territory	United States
City	Washington
Period	04/23/17 → 04/26/17

UN SDGs

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

SDG 7 Affordable and Clean Energy

Scopus Subject Areas

Artificial Intelligence
Computer Networks and Communications
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Control and Optimization

Keywords

Cosine Similarity (CS)
Home Area Network (HAN)
Received Signal Strength Indicator (RSSI)
Smart grid

Access to Document

10.1109/ISGT.2017.8086064

Cite this

Chatfield, B., & Haddad, R. J. (2017). RSSI-based spoofing detection in smart grid IEEE 802.11 home area networks. In 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017 Article 8086064 (2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISGT.2017.8086064

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title = "RSSI-based spoofing detection in smart grid IEEE 802.11 home area networks",

abstract = "The smart grid concept has compelled researchers to investigate cybersecurity approaches for infrastructure stability. Wireless mediums represent the backbone of communications in the smart grid especially for Home Area Networks (HAN). Increased connectivity brings about an inheritance of vulnerabilities associated with wireless networks. In particular, spoofing attacks poses an immediate threat to Confidentiality, Integrity, and Availability (CIA). In this study, an intrusion detection system (IDS) algorithm is proposed in which received signal strength indicator (RSSI) is analyzed by means of cosine similarity and data sectoring to detect spoofing attacks in smart grid 802.11 HANs. The detection accuracies are recorded at different spoofing distances and threshold levels.",

keywords = "Cosine Similarity (CS), Home Area Network (HAN), Received Signal Strength Indicator (RSSI), Smart grid",

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

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017 ; Conference date: 23-04-2017 Through 26-04-2017",

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doi = "10.1109/ISGT.2017.8086064",

language = "English",

series = "2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017",

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Chatfield, B & Haddad, RJ 2017, RSSI-based spoofing detection in smart grid IEEE 802.11 home area networks. in 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017., 8086064, 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017, Washington, United States, 04/23/17. https://doi.org/10.1109/ISGT.2017.8086064

RSSI-based spoofing detection in smart grid IEEE 802.11 home area networks. / Chatfield, Brycent; Haddad, Rami J.
2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 8086064 (2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017).

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

TY - GEN

T1 - RSSI-based spoofing detection in smart grid IEEE 802.11 home area networks

AU - Chatfield, Brycent

AU - Haddad, Rami J.

PY - 2017/10/26

Y1 - 2017/10/26

N2 - The smart grid concept has compelled researchers to investigate cybersecurity approaches for infrastructure stability. Wireless mediums represent the backbone of communications in the smart grid especially for Home Area Networks (HAN). Increased connectivity brings about an inheritance of vulnerabilities associated with wireless networks. In particular, spoofing attacks poses an immediate threat to Confidentiality, Integrity, and Availability (CIA). In this study, an intrusion detection system (IDS) algorithm is proposed in which received signal strength indicator (RSSI) is analyzed by means of cosine similarity and data sectoring to detect spoofing attacks in smart grid 802.11 HANs. The detection accuracies are recorded at different spoofing distances and threshold levels.

AB - The smart grid concept has compelled researchers to investigate cybersecurity approaches for infrastructure stability. Wireless mediums represent the backbone of communications in the smart grid especially for Home Area Networks (HAN). Increased connectivity brings about an inheritance of vulnerabilities associated with wireless networks. In particular, spoofing attacks poses an immediate threat to Confidentiality, Integrity, and Availability (CIA). In this study, an intrusion detection system (IDS) algorithm is proposed in which received signal strength indicator (RSSI) is analyzed by means of cosine similarity and data sectoring to detect spoofing attacks in smart grid 802.11 HANs. The detection accuracies are recorded at different spoofing distances and threshold levels.

KW - Cosine Similarity (CS)

KW - Home Area Network (HAN)

KW - Received Signal Strength Indicator (RSSI)

KW - Smart grid

UR - https://www.scopus.com/pages/publications/85040163277

U2 - 10.1109/ISGT.2017.8086064

DO - 10.1109/ISGT.2017.8086064

M3 - Conference article

AN - SCOPUS:85040163277

T3 - 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017

BT - 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017

Y2 - 23 April 2017 through 26 April 2017

ER -

Chatfield B, Haddad RJ. RSSI-based spoofing detection in smart grid IEEE 802.11 home area networks. In 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 8086064. (2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017). doi: 10.1109/ISGT.2017.8086064

RSSI-based spoofing detection in smart grid IEEE 802.11 home area networks

Abstract

Publication series

Conference

UN SDGs

Scopus Subject Areas

Keywords

Access to Document

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