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      <namePart>Qu, Yanfeng</namePart>
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   <titleInfo>
      <title>Towards a Secure and Resilient Smart Grid Cyberinfrastructure Using Software-Defined Networking</title>
   </titleInfo>
   <originInfo>
      <dateCreated keyDate="yes">2022</dateCreated>
   </originInfo>
   <note displayLabel="Degree Awarded">Spring 2022</note>
   <typeOfResource authority="aat" valueURI="http://vocab.getty.edu/page/aat/300028029">Dissertation</typeOfResource>
   <name type="corporate">
      <affiliation>Illinois Institute of Technology</affiliation>
   </name>
   <name type="corporate">
      <namePart>CS / Computer Science</namePart>
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   <name authority="wikidata" authorityURI="https://www.wikidata.org" valueURI="https://www.wikidata.org/wiki/Q125761243">
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      <namePart>Jin, Dong Kevin</namePart>
   </name>
   <subject>
      <topic>Computer science</topic>
   </subject>
   <subject>
      <topic>Critical infrastructure protection</topic>
   </subject>
   <subject>
      <topic>Cyber-resilience</topic>
   </subject>
   <subject>
      <topic>IoT</topic>
   </subject>
   <subject>
      <topic>PMU</topic>
   </subject>
   <subject>
      <topic>Smart grid</topic>
   </subject>
   <subject>
      <topic>Software-defined networking</topic>
   </subject>
   <language>
      <languageTerm type="code" authority="rfc3066">en</languageTerm>
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   <abstract>To enhance the cyber-resilience and security of the smart grid against malicious attacks and system errors,  we present software-defined networking (SDN)-based communication architecture design for smart grid operation. Our design utilizes SDN technology, which improves network manageability, and provides application-oriented visibility and direct programmability, to deploy the multiple SDN-aware applications to enhance grid security and resilience including optimization-based network management to recover Phasor Measurement Unit (PMU) network connectivity and restore power system observability;  Flow-based anomaly detection and optimization-based network management to mitigate Manipulation of demand of IoT (MadIoT) attack. We also developed a prototype system in a cyber-physical testbed and conducted extensive evaluation experiments using the IEEE 30-bus system, IEEE 118-bus system, and IIT campus microgrid. </abstract>
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