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        <datestamp>2026-10-01T04:47:35Z</datestamp>
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          <dc:title>Intrusion Detection under Measurement Shift</dc:title>
          <dc:creator>Cemil Emre Yavas (25144676)</dc:creator>
          <dc:subject>Network engineering</dc:subject>
          <dc:subject>Intrusion Detection</dc:subject>
          <dc:subject>Packet sampling</dc:subject>
          <dc:subject>Flow timeout</dc:subject>
          <dc:subject>Measurement shift</dc:subject>
          <dc:subject>Traffic monitoring</dc:subject>
          <dc:subject>Reproducible evaluation</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;Reproducible packet-replay experiments for separating collection changes from changes in network behavior. The study crosses Bernoulli packet retention probabilities (1, 0.5, 0.1, 0.01) with idle timeouts (5, 30, 60 seconds) and active timeouts (30, 120, 600 seconds) on eight IoT-23 and four Kitsune captures.&lt;/p&gt;</dc:description>
          <dc:date>2026-10-01T04:47:35Z</dc:date>
          <dc:type>Software</dc:type>
          <dc:type>Software</dc:type>
          <dc:identifier>10.6084/m9.figshare.34038825.v1</dc:identifier>
          <dc:relation>https://figshare.com/articles/software/Intrusion_Detection_under_Measurement_Shift/34038825</dc:relation>
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