Electrical & Computer Engineering: Faculty Publications

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

Document Type

Conference Proceeding

Publication Date

10-26-2017

Publication Title

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

DOI

10.1109/ISGT.2017.8086064

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.

Comments

Georgia Southern University faculty member, Rami J. Haddad co-authored "RSSI-based spoofing detection in smart grid IEEE 802.11 home area networks."

Copyright

This work is archived and distributed under the repository's Standard Copyright and Reuse License (opens in new tab). End users may copy, store, and distribute this work without restriction. For all other uses, permission must be obtained from the copyright owners or their authorized agents.

Link to Full Text

Share

COinS