1 Ocak 2021 Konferans bildirisi Açık Erişim

Kizmaz, Muhammed Mustafa; Ergun, Salih

DataCite XML

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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/240072</identifier>
  <creators>
    <creator>
      <creatorName>Kizmaz, Muhammed Mustafa</creatorName>
      <givenName>Muhammed Mustafa</givenName>
      <familyName>Kizmaz</familyName>
      <affiliation>TUBITAK Informat &amp; Informat Secur Res Ctr, PO 74, TR-41470 Kocaeli, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Ergun, Salih</creatorName>
      <givenName>Salih</givenName>
      <familyName>Ergun</familyName>
      <affiliation>TUBITAK Informat &amp; Informat Secur Res Ctr, PO 74, TR-41470 Kocaeli, Turkey</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Skew-Tent Map Based Cmos Random Number Generator With Chaotic Sampling</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2021</publicationYear>
  <dates>
    <date dateType="Issued">2021-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/240072</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1109/NEWCAS50681.2021.9462765</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">Random number generators (RNGs) has an extensive application area from cryptography to simulation software. Piecewise linear one-dimensional (PL1D) maps are commonly preferred structures used as the basis of RNGs due to their theoretically proven chaotic behavior and ease of implementation. In this work, a skew-tent map based RNG is designed by using the chaotic sampling method in TSMC 180 nm CMOS process. Simulation data of the designed RNG is validated by the statistical randomness tests of the FIPS-140-2 and NIST 800-22 suites. The proposed RNG has three key features: the generated bitstreams can fulfill the randomness tests without using any post processing methods; the proposed RNG has immunity against external interference thanks to the chaotic sampling method; and higher bitrates (4.8 Mbitls) can be achieved with relatively low power consumption (9.8 mW). Thus, robust RNG systems can be built for high-speed security applications with low power by using the proposed architecture.</description>
  </descriptions>
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