Intrusion Detection and Protection Systems in Smart Grids

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dc.contributor Hong, Xiaoyan
dc.contributor Vrbsky, Susan
dc.contributor Zhang, Jingyuan
dc.contributor Li, Shuhui
dc.contributor.advisor Xiao, Yang
dc.contributor.author Jow, Julius
dc.date.accessioned 2021-11-23T14:34:55Z
dc.date.available 2021-11-23T14:34:55Z
dc.date.issued 2021
dc.identifier.other http://purl.lib.ua.edu/181546
dc.identifier.other u0015_0000001_0003985
dc.identifier.other Jow_alatus_0004D_14497
dc.identifier.uri http://ir.ua.edu/handle/123456789/8217
dc.description Electronic Thesis or Dissertation
dc.description.abstract The creation of microgrids, the introduction of multiple renewable energy sources, and Internet of things (IoT) devices have led to the increased vulnerability of Smart Grids. The existing Intrusion Detection and Protection Systems (IDPS) designed for Information and Communications Technology (ICT) are generally regarded as inadequate for the protection of Smart Grids mainly because these systems do not include aspects of the power systems and the underlying communication technologies and protocols. Thus, they are not suitable for Smart Grids. This dissertation addresses the above need by introducing and implementing an IDPS for a Smart Grid that would incorporate some aspects of communication protocols that apply to the power system.First, we have comprehensively surveyed publications that address IDPS in Smart Grids. We discovered that even though some IDPS for Smart Grid ideas have been suggested, the industry has not implemented them. Second, we propose a cooperative distributed IDPS that can detect and isolate attacked microgrids from the rest of the Grid. Furthermore, we develop an algorithm to detect intrusions that can be applied in our IDPS. The algorithm helps isolate compromised microgrids from the rest of the Grid and readmit cured microgrids back to the Grid. Third, we introduce a performance measure for IDPS, "Detectability, "and implement a novel risk analysis of IDPS for Smart Grids using Ladder Logic and Fault Tree Analysis (FTA). Method analysis and simulation results show that this method can be effective in evaluating specific failure contributors in IDPS.
dc.format.medium electronic
dc.format.mimetype application/pdf
dc.language English
dc.language.iso en_US
dc.publisher University of Alabama Libraries
dc.relation.ispartof The University of Alabama Electronic Theses and Dissertations
dc.relation.ispartof The University of Alabama Libraries Digital Collections
dc.relation.hasversion born digital
dc.rights All rights reserved by the author unless otherwise indicated.
dc.subject Intrusion Detection en_US
dc.subject Protection Systems en_US
dc.subject Smart Grids en_US
dc.title Intrusion Detection and Protection Systems in Smart Grids en_US
dc.type thesis
dc.type text
etdms.degree.department University of Alabama. Department of Computer Science
etdms.degree.discipline Computer science
etdms.degree.grantor The University of Alabama
etdms.degree.level doctoral
etdms.degree.name Ph.D.


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