@inproceedings{2faf0852dd20419a9e9f910a0cfd0552,
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",
year = "2017",
month = oct,
day = "26",
doi = "10.1109/ISGT.2017.8086064",
language = "English",
series = "2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017",
address = "United States",
}
