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        <identifier>oai:www.ideals.illinois.edu:2142/31206</identifier>
        <datestamp>2023-07-10</datestamp>
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          <dc:contributor>Borisov, Nikita</dc:contributor>
          <dc:contributor>Borisov, Nikita</dc:contributor>
          <dc:contributor>Caesar, Matthew C.</dc:contributor>
          <dc:contributor>Danezis, George</dc:contributor>
          <dc:contributor>Kumar, P.R.</dc:contributor>
          <dc:contributor>Vaidya, Nitin H.</dc:contributor>
          <dc:creator>Mittal, Prateek</dc:creator>
          <dc:date>2012-05-22T00:35:36Z</dc:date>
          <dc:date>2012-05-22T00:35:36Z</dc:date>
          <dc:date>2012-05</dc:date>
          <dc:date>2012-05-22T00:35:36Z</dc:date>
          <dc:date>2012-05</dc:date>
          <dc:description>The architectures of deployed anonymity systems such as that of the Tor network suﬀer from the problems of (a) limited scalability, (b) reliance on a few
central points of trust, and (c) trust issues due to Sybil attack. In this thesis, we investigate the design of novel approaches to anonymous communication that are scalable, decentralized, and Sybil-resilient.
First, we begin by investigating security vulnerabilites in existing P2P anonymity systems, and ﬁnd fundamental limitations in their designs. Second, we propose novel protocols for P2P anonymous communication that can successfully overcome these limitations. Third, we describe a protocol for detecting malicious Sybil identities using information about social network trust relationships. Fourth, we present protection mechanisms for DHTs that also leverage social network trust relationships to defend against the Sybil attack while preserving the privacy of social contacts and providing a basis for pseudonymous communication. Finally, we describe a protocol for trustworthy and scalable anonymous communication that can directly leverage users’ trusted social contacts. We evaluate the eﬀectiveness of our protocols using theoretical analysis, simulations, implementations and a Facebook
application.</dc:description>
          <dc:description>Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2012-04-14T16:33:06Z
Item was in collections:
University of Illinois Theses &amp; Dissertations (ID: 1)
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          <dc:identifier>http://hdl.handle.net/2142/31206</dc:identifier>
          <dc:language>en</dc:language>
          <dc:rights>Copyright 2012 Prateek Mittal</dc:rights>
          <dc:subject>privacy</dc:subject>
          <dc:subject>anonymity</dc:subject>
          <dc:subject>social networks</dc:subject>
          <dc:subject>Sybil attacks</dc:subject>
          <dc:title>Trustworthy and scalable anonymous communication</dc:title>
          <dc:type>text</dc:type>
          <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>Dissertation</level>
            <name>Ph.D.</name>
            <program>PHD:Electr &amp; Computer Eng-UIUC</program>
            <programCode>10KS1200PHD</programCode>
          </degree>
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