Term of Award
Spring 2017
Degree Name
Master of Science in Applied Engineering (M.S.A.E.)
Document Type and Release Option
Thesis (open access)
Copyright Statement / License for Reuse
This work is licensed under a Creative Commons Attribution 4.0 License.
Department
Department of Electrical Engineering
Committee Chair
Rami Haddad
Committee Member 1
Sungkyun Lim
Committee Member 2
Adel El Shahat
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 and spoofing attack techniques diminish system operations thus affecting smart grid stability and posing an immediate threat to Confidentiality, Integrity, and Availability (CIA) of the smart grid. Intrusion detection systems (IDS) serve as a primary defense in mitigating network vulnerabilities. In IDS, signatures created from historical data are compared to incoming network traffic to identify abnormalities. In this thesis, intrusion detection algorithms are proposed for attack detection in smart grid networks by means of physical, data link, network, and session layer analysis. Irregularities in these layers provide insight to whether the network is experiencing genuine or malicious activity.
Recommended Citation
Chatfield, Brycent, "Intrusion Detection for Smart Grid Communication Systems" (2017). Electronic Theses and Dissertations. 1600.
https://digitalcommons.georgiasouthern.edu/etd/1600
Research Data and Supplementary Material
No
