Intrusion Detection and Protection Systems in Smart Grids

dc.contributorHong, Xiaoyan
dc.contributorVrbsky, Susan
dc.contributorZhang, Jingyuan
dc.contributorLi, Shuhui
dc.contributor.advisorXiao, Yang
dc.contributor.authorJow, Julius
dc.contributor.otherUniversity of Alabama Tuscaloosa
dc.descriptionElectronic Thesis or Dissertationen_US
dc.description.abstractThe 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.en_US
dc.publisherUniversity of Alabama Libraries
dc.relation.hasversionborn digital
dc.relation.ispartofThe University of Alabama Electronic Theses and Dissertations
dc.relation.ispartofThe University of Alabama Libraries Digital Collections
dc.rightsAll rights reserved by the author unless otherwise indicated.en_US
dc.subjectIntrusion Detection
dc.subjectProtection Systems
dc.subjectSmart Grids
dc.titleIntrusion Detection and Protection Systems in Smart Gridsen_US
dc.typetext of Alabama. Department of Computer Science Science University of Alabama
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