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        <identifier>oai:www.ideals.illinois.edu:2142/24158</identifier>
        <datestamp>2023-07-10</datestamp>
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        <thesis xmlns="http://www.ndltd.org/standards/metadata/etdms/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.ndltd.org/standards/metadata/etdms/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdms11.xsd http://purl.org/dc/elements/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdmsdc.xsd">
          <dc:contributor>Overbye, Thomas J.</dc:contributor>
          <dc:creator>Nicol, Thomas</dc:creator>
          <dc:date>2011-05-25T14:57:01Z</dc:date>
          <dc:date>2011-05-25T14:57:01Z</dc:date>
          <dc:date>2011-05-25T14:57:01Z</dc:date>
          <dc:date>2011-05</dc:date>
          <dc:description>Advanced techniques of Non-Intrusive Load Monitoring (NILM) can provide
power consumers with opportunities to easily and accurately track their own energy
usage. However, as with any other powerful technology, there is a darker side to NILM.
Since detailed monitoring requires only information about the overall power draw over a
period of time, sources of such information could be used for any number of purposes.
While some legal protections exist for personal information reported to a utility, and
digital defenses make it difficult for unauthorized parties to obtain meter data, such
measures are not infallible. They do nothing to prevent abuse by the utility itself or the
surreptitious installation of a monitoring device outside a residence, place of business,
embassy, etc. Therefore, a method to reduce the ability of attackers to deduce private
information from an observed power signal is proposed, using some knowledge of the
loads being hidden to offset identifiable load signatures in the signal for maximum
ambiguity.</dc:description>
          <dc:description>Item withdrawn by Rebecca Bryant (rabryant@illinois.edu) on 2011-04-22T18:24:12Z
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          <dc:identifier>http://hdl.handle.net/2142/24158</dc:identifier>
          <dc:language>en</dc:language>
          <dc:rights>Copyright 2011 Thomas Nicol</dc:rights>
          <dc:subject>privacy</dc:subject>
          <dc:subject>non-intrusive load monitoring</dc:subject>
          <dc:subject>load signal</dc:subject>
          <dc:title>Privacy protection through limited load signal distortion</dc:title>
          <degree>
            <department>Electrical &amp; Computer Eng</department>
            <departmentCode>1933</departmentCode>
            <discipline>Electrical &amp; Computer Engr</discipline>
            <disciplineCode>1200</disciplineCode>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <level>Thesis</level>
            <name>M.S.</name>
            <program>MS:Electr &amp; Computer Eng-UIUC</program>
            <programCode>10KS1200MS</programCode>
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