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    <completedYear>2012</completedYear>
    <publishedYear>2012</publishedYear>
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    <completedDate>2012-11-28</completedDate>
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    <title language="eng">Advanced techniques for latent fingerprint detection and validation using a CWL device</title>
    <abstract language="eng">The technology-aided support of forensic experts while investigating crime scenes and collecting traces becomes a more and more important part in the domains of image acquisition and signal processing. The manual lifting of latent fingerprints using conventional methods like the use of carbon black powder is time-consuming and very limited in its scope of application. New technologies for a contact-less and non-invasive acquisition and automatic processing of latent fingerprints, promise the possibilities to inspect much more and larger surface areas and can significantly simplify and speed up the workflow. Furthermore, it allows multiple investigations of the same trace, subsequent chemical analysis of the residue left behind and the acquisition of latent fingerprints on sensitive surfaces without destroying the surface itself. In this work, a FRT MicroProf200 surface measurement device equipped with a chromatic white-light sensor CWL600 is used. The device provides a gray-scale intensity image and 3D-topography data simultaneously. While large area scans are time-consuming, the detection and localization of finger traces are done based on low-resolution scans. The localized areas are scanned again with higher resolution. Due to the broad variety of different surface characteristics the fingerprint pattern is often overlaid by the surface structure or texture. Thus, image processing and classification techniques are proposed for validation and visualization of ridge lines in high-resolution scans. Positively validated regions containing complete or sufficient partial fingerprints are passed on to forensic experts. The experiments are provided on a set of three surfaces with different reflection and texture characteristics, and fingerprints from ten different persons.&#13;
&#13;
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).</abstract>
    <parentTitle language="eng">In: Proceedings of SPIE 8436, 84360V. 2012.</parentTitle>
    <identifier type="doi">10.1117/12.922235</identifier>
    <author>Andrey Makrushin</author>
    <author>Mario Hildebrandt</author>
    <author>Robert Fischer</author>
    <author>Tobias Kiertscher</author>
    <author>Jana Dittmann</author>
    <author>Claus Vielhauer</author>
    <collection role="ddc" number="005">Computerprogrammierung, Programme, Daten</collection>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
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    <id>804</id>
    <completedYear>2013</completedYear>
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    <language>eng</language>
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    <publisherName>SPIE</publisherName>
    <publisherPlace>Bellingham, Wash.</publisherPlace>
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    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2014-02-05</completedDate>
    <publishedDate>--</publishedDate>
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    <title language="eng">Visibility enhancement and validation of segmented latent fingerprints in crime scene forensics</title>
    <parentTitle language="eng">Media watermarking, security, and forensics 2013 : 5 - 7 February 2013, Burlingame, California, United States ; proceedings ; [part of] IS&amp;T/SPIE electronic imaging science and technology</parentTitle>
    <identifier type="doi">10.1117/12.2003661</identifier>
    <identifier type="isbn">978-0-8194-9438-2</identifier>
    <author>Andrey Makrushin</author>
    <author>Tobias Kiertscher</author>
    <author>Mario Hildebrandt</author>
    <author>Jana Dittmann</author>
    <author>Claus Vielhauer</author>
    <series>
      <title>Proceedings of SPIE</title>
      <number>Vo. 8665</number>
    </series>
    <collection role="ddc" number="005">Computerprogrammierung, Programme, Daten</collection>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
    <thesisPublisher>Technische Hochschule Brandenburg</thesisPublisher>
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    <id>1980</id>
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    <language>eng</language>
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    <pageNumber>Art. 829608</pageNumber>
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    <publisherName>SPIE</publisherName>
    <publisherPlace>Bellingham, Wash.</publisherPlace>
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    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2018-02-12</completedDate>
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    <title language="eng">Computer-aided fiber analysis for crime scene forensics</title>
    <parentTitle language="eng">Computational imaging X : 23 - 24 January 2012, Burlingame, California, United States ; proceedings ; [part of] IS&amp;T/SPIE electronic imaging, science and technology</parentTitle>
    <identifier type="isbn">978-0-8194-8943-2</identifier>
    <identifier type="doi">10.1117/12.909852</identifier>
    <enrichment key="Textseries">Proceedings of SPIE ; 8296</enrichment>
    <author>Mario Hildebrandt</author>
    <author>Christian Arndt</author>
    <author>Andrey Makrushin</author>
    <author>Jana Dittmann</author>
    <collection role="ddc" number="006">Spezielle Computerverfahren</collection>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
    <thesisPublisher>Technische Hochschule Brandenburg</thesisPublisher>
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    <id>1986</id>
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    <publisherName>SPIE</publisherName>
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    <completedDate>2018-03-02</completedDate>
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    <title language="eng">High-resolution printed amino acid traces: a first-feature extraction approach for fingerprint forgery detection</title>
    <parentTitle language="eng">Media watermarking, security, and forensics 2012 : 23 - 25 January 2012, Burlingame, California, United States ; proceedings ; [part of] IS&amp;T/SPIE electronic imaging, science and technology</parentTitle>
    <identifier type="doi">10.1117/12.909072</identifier>
    <identifier type="isbn">978-0-8194-8950-0</identifier>
    <licence>Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0</licence>
    <author>Mario Hildebrandt</author>
    <author>Stefan Kiltz</author>
    <author>Jennifer Sturm</author>
    <author>Jana Dittmann</author>
    <author>Claus Vielhauer</author>
    <series>
      <title>Proceedings of SPIE</title>
      <number>8303</number>
    </series>
    <collection role="ddc" number="005">Computerprogrammierung, Programme, Daten</collection>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
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    <publisherName>SPIE</publisherName>
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    <belongsToBibliography>1</belongsToBibliography>
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    <title language="eng">Performance analysis of digital cameras versus chromatic white light (CWL) sensors for the localization of latent fingerprints in crime scenes</title>
    <parentTitle language="eng">Optics, photonics, and digital technologies for multimedia applications II : 17 - 18 April 2012, Brussels, Belgium ; [part of SPIE Photonics Europe]</parentTitle>
    <identifier type="isbn">978-0-8194-9128-2</identifier>
    <licence>Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0</licence>
    <author>Mathias Jankow</author>
    <author>Mario Hildebrandt</author>
    <author>Stefan Kiltz</author>
    <author>Jennifer Sturm</author>
    <author>Claus Vielhauer</author>
    <series>
      <title>Proceedings of SPIE</title>
      <number>8436</number>
    </series>
    <collection role="ddc" number="005">Computerprogrammierung, Programme, Daten</collection>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
    <thesisPublisher>Technische Hochschule Brandenburg</thesisPublisher>
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    <id>1989</id>
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    <completedDate>2018-03-02</completedDate>
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    <title language="eng">Challenges in contact-less latent fingerprint processing in crime scenes : review of sensors and image processing investigations</title>
    <parentTitle language="eng">EUSIPCO 2012 : 20th European Signal Processing Conference, August 27 - 31, 2012, Bucharest, Romania</parentTitle>
    <licence>Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0</licence>
    <author>Stefan Kiltz</author>
    <author>Mario Hildebrandt</author>
    <author>Jana Dittmann</author>
    <author>Claus Vielhauer</author>
    <collection role="ddc" number="005">Computerprogrammierung, Programme, Daten</collection>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
    <thesisPublisher>Technische Hochschule Brandenburg</thesisPublisher>
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  <doc>
    <id>1992</id>
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    <language>deu</language>
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    <publisherName>Syssec</publisherName>
    <publisherPlace>Frechen</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation>Gesellschaft für Informatik</contributingCorporation>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2018-03-02</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Tatortforensik:  Beweissicherer Kunstschweißdruck</title>
    <parentTitle language="deu">D-A-CH Security 2012 : Bestandsaufnahme - Konzepte - Anwendungen - Perspektiven ; [Arbeitskonferenz ; Konstanz, 25. und 26. September 2012]</parentTitle>
    <identifier type="isbn">978-3-00-039221-4</identifier>
    <enrichment key="Textseries">IT security &amp; IT management</enrichment>
    <licence>Creative Commons - CC BY-NC-SA - Namensnennung - Nicht kommerziell -  Weitergabe unter gleichen Bedingungen 4.0</licence>
    <author>Jennifer Sturm</author>
    <author>Mario Hildebrandt</author>
    <author>Jana Dittmann</author>
    <author>Claus Vielhauer</author>
    <collection role="ddc" number="005">Computerprogrammierung, Programme, Daten</collection>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
    <thesisPublisher>Technische Hochschule Brandenburg</thesisPublisher>
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    <title language="eng">Ballistic examinations based on 3D data: a comparative study of probabilistic Hough Transform and geometrical shape determination for circle-detection on cartridge bottoms</title>
    <parentTitle language="eng">Media watermarking, security, and forensics 2013 : 5 - 7 February 2013, Burlingame, California, United States ; proceedings ; [part of] IS&amp;T/SPIE electronic imaging science and technology</parentTitle>
    <identifier type="isbn">978-0-8194-9438-2</identifier>
    <licence>Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0</licence>
    <author>Robert Fischer</author>
    <author>Claus Vielhauer</author>
    <author>Mario Hildebrandt</author>
    <author>Stefan Kiltz</author>
    <author>Jana Dittmann</author>
    <series>
      <title>Proceedings of SPIE</title>
      <number>8665</number>
    </series>
    <collection role="ddc" number="005">Computerprogrammierung, Programme, Daten</collection>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
    <thesisPublisher>Technische Hochschule Brandenburg</thesisPublisher>
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    <id>2016</id>
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    <language>eng</language>
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    <publisherName>IEEE</publisherName>
    <publisherPlace>Piscataway, NJ</publisherPlace>
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    <belongsToBibliography>1</belongsToBibliography>
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    <title language="eng">Statistical latent fingerprint residue recognition in contact-less scans to support fingerprint segmentation</title>
    <parentTitle language="eng">18th International Conference on Digital Signal Processing (DSP), 2013 : 1 - 3 July 2013, Nomikos Conference Centre, Fira, Santorini, Greece / IEEE</parentTitle>
    <identifier type="isbn">978-1-4673-5807-1</identifier>
    <identifier type="doi">10.1109/ICDSP.2013.6622824</identifier>
    <licence>Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0</licence>
    <author>Mario Hildebrandt</author>
    <author>Jana Dittmann</author>
    <author>Claus Vielhauer</author>
    <collection role="ddc" number="006">Spezielle Computerverfahren</collection>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
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    <thesisPublisher>Technische Hochschule Brandenburg</thesisPublisher>
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    <id>2017</id>
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    <language>eng</language>
    <pageFirst>200</pageFirst>
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    <publisherName>Springer</publisherName>
    <publisherPlace>Heidelberg</publisherPlace>
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    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2018-03-13</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Visibility  Assessment  of  Latent  Fingerprints  on  Challenging  Substrates  in  Spectroscopic  Scans</title>
    <parentTitle language="eng">Communications and multimedia security ; 14th IFIP TC 6/TC 11 international conference, CMS 2013, Magdeburg, germany, September 25-26, 2013 ; proceedings</parentTitle>
    <identifier type="isbn">978-3-642-40779-6</identifier>
    <identifier type="doi">10.1007/978-3-642-40779-6_1</identifier>
    <identifier type="isbn">978-3-642-40778-9</identifier>
    <licence>Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0</licence>
    <author>Mario Hildebrandt</author>
    <author>Andrey Makrushin</author>
    <author>Kun Qian</author>
    <author>Jana Dittmann</author>
    <series>
      <title>Lecture notes in computer science</title>
      <number>Vol. 8099</number>
    </series>
    <collection role="ddc" number="006">Spezielle Computerverfahren</collection>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
    <thesisPublisher>Technische Hochschule Brandenburg</thesisPublisher>
  </doc>
  <doc>
    <id>1957</id>
    <completedYear>2017</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>19</pageFirst>
    <pageLast>35</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>bookpart</type>
    <publisherName>Springer International Publishing</publisherName>
    <publisherPlace>Cham</publisherPlace>
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    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2018-01-19</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Capture and Analysis of Latent Marks</title>
    <parentTitle language="eng">Handbook of Biometrics for Forensic Science</parentTitle>
    <identifier type="doi">10.1007/978-3-319-50673-9_2</identifier>
    <identifier type="isbn">978-3-319-50671-5 (Print)</identifier>
    <identifier type="isbn">978-3-319-50673-9 (Online)</identifier>
    <enrichment key="Textseries">Advances in Computer Vision and Pattern Recognition</enrichment>
    <author>Mario Hildebrandt</author>
    <author>Jana Dittmann</author>
    <author>Claus Vielhauer</author>
    <collection role="ddc" number="004">Datenverarbeitung; Informatik</collection>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
    <thesisPublisher>Technische Hochschule Brandenburg</thesisPublisher>
  </doc>
  <doc>
    <id>1993</id>
    <completedYear>2012</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>SPIE</publisherName>
    <publisherPlace>Bellingham, Wash.</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2018-03-02</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A first proposal for a general description model of forensic traces</title>
    <parentTitle language="eng">Optics, photonics, and digital technologies for multimedia applications II : 17 - 18 April 2012, Brussels, Belgium ; [part of SPIE Photonics Europe]</parentTitle>
    <identifier type="isbn">978-0-8194-9128-2</identifier>
    <identifier type="doi">10.1117/12.922053</identifier>
    <licence>Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0</licence>
    <author>Ina Lindauer</author>
    <author>Claus Vielhauer</author>
    <author>Martin Schäler</author>
    <author>Gunter Saake</author>
    <author>Mario Hildebrandt</author>
    <series>
      <title>Proceedings of SPIE</title>
      <number>v. 8436</number>
    </series>
    <collection role="ddc" number="005">Computerprogrammierung, Programme, Daten</collection>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
    <thesisPublisher>Technische Hochschule Brandenburg</thesisPublisher>
  </doc>
  <doc>
    <id>1994</id>
    <completedYear>2012</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>SPIE</publisherName>
    <publisherPlace>Bellingham, Wash.</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2018-03-02</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">3D imaging for ballistics analysis using chromatic white light sensor</title>
    <parentTitle language="eng">Three-dimensional image processing (3DIP) and applications : 24 - 26 January 2012, Burlingame, California, United States ; proceedings ; [part of] IS&amp;T/SPIE electronic imaging, science and technology</parentTitle>
    <identifier type="isbn">978-0-8194-8937-1</identifier>
    <identifier type="doi">10.1117/12.908105</identifier>
    <licence>Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0</licence>
    <author>Andrey Makrushin</author>
    <author>Mario Hildebrandt</author>
    <author>Jana Dittmann</author>
    <author>Eric Clausing</author>
    <author>Robert Fischer</author>
    <author>Claus Vielhauer</author>
    <series>
      <title>Proceedings of SPIE</title>
      <number>8290</number>
    </series>
    <collection role="ddc" number="006">Spezielle Computerverfahren</collection>
    <collection role="ddc" number="621">Angewandte Physik</collection>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
    <thesisPublisher>Technische Hochschule Brandenburg</thesisPublisher>
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  <doc>
    <id>1995</id>
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    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2018-03-02</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Advanced techniques for latent fingerprint detection and validation using a CWL device</title>
    <parentTitle language="eng">Optics, photonics, and digital technologies for multimedia applications II : 17 - 18 April 2012, Brussels, Belgium ; [part of SPIE Photonics Europe]</parentTitle>
    <identifier type="isbn">978-0-8194-9128-2</identifier>
    <identifier type="doi">10.1117/12.922235</identifier>
    <licence>Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0</licence>
    <author>Andrey Makrushin</author>
    <author>Claus Vielhauer</author>
    <author>Mario Hildebrandt</author>
    <author>Jana Dittmann</author>
    <author>Robert Fischer</author>
    <author>Tobias Kiertscher</author>
    <series>
      <title>Proceedings of SPIE</title>
      <number>Vol. 8436</number>
    </series>
    <collection role="ddc" number="006">Spezielle Computerverfahren</collection>
    <collection role="ddc" number="621">Angewandte Physik</collection>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
    <thesisPublisher>Technische Hochschule Brandenburg</thesisPublisher>
  </doc>
  <doc>
    <id>1997</id>
    <completedYear>2012</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
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    <type>conferenceobject</type>
    <publisherName>SPIE</publisherName>
    <publisherPlace>Bellingham, Wash.</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2018-03-02</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Environmental impact to multimedia systems on the example of fingerprint aging behavior at crime scenes</title>
    <parentTitle language="eng">Optics, photonics, and digital technologies for multimedia applications II : 17 - 18 April 2012, Brussels, Belgium ; [part of SPIE Photonics Europe]</parentTitle>
    <identifier type="isbn">978-0-8194-9128-2</identifier>
    <identifier type="doi">10.1117/12.922701</identifier>
    <licence>Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0</licence>
    <author>Ronny Merkel</author>
    <author>Andy Breuhan</author>
    <author>Mario Hildebrandt</author>
    <author>Claus Vielhauer</author>
    <series>
      <title>Proceedings of SPIE</title>
      <number>Vo. 8436</number>
    </series>
    <collection role="ddc" number="006">Spezielle Computerverfahren</collection>
    <collection role="ddc" number="621">Angewandte Physik</collection>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
    <thesisPublisher>Technische Hochschule Brandenburg</thesisPublisher>
  </doc>
  <doc>
    <id>2073</id>
    <completedYear>2015</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Piscataway, NJ</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2018-04-26</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">From classical forensics to digitized crime scene analysis</title>
    <parentTitle language="eng">2015 IEEE International Conference on Multimedia and Expo (ICME) : June 29, 2015 - July 3, 2015, Turin, Italy</parentTitle>
    <identifier type="isbn">978-1-4799-7082-7</identifier>
    <identifier type="doi">10.1109/ICME.2015.7397313</identifier>
    <licence>Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0</licence>
    <author>Ronny Merkel</author>
    <author>Claus Vielhauer</author>
    <author>Jana Dittmann</author>
    <author>Robert Fischer</author>
    <author>Mario Hildebrandt</author>
    <author>Christian Arndt</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>fingerprint recognition</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>forensics</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>sensors</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>substrates</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>feature extraction</value>
    </subject>
    <collection role="ddc" number="006">Spezielle Computerverfahren</collection>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
    <thesisPublisher>Technische Hochschule Brandenburg</thesisPublisher>
  </doc>
  <doc>
    <id>2034</id>
    <completedYear>2014</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>SPIE</publisherName>
    <publisherPlace>Bellingham, Wash.</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2018-03-19</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">An enhanced feature set for pattern recognition based contrast enhancement of contact-less captured latent fingerprints in digitized crime scene forensics</title>
    <parentTitle language="eng">Media watermarking, security, and forensics 2014 : [conference] ; 3 - 5 February 2014, San Francisco, California, United States ; proceedings ; [part of] IS&amp;T/SPIE electronic imaging science and technology</parentTitle>
    <identifier type="doi">10.1117/12.2039074</identifier>
    <identifier type="isbn">978-0-8194-9945-5</identifier>
    <licence>Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0</licence>
    <author>Mario Hildebrandt</author>
    <author>Stefan Kiltz</author>
    <author>Jana Dittmann</author>
    <author>Claus Vielhauer</author>
    <series>
      <title>Proceedings of SPIE</title>
      <number>V. 9028</number>
    </series>
    <collection role="ddc" number="006">Spezielle Computerverfahren</collection>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
    <thesisPublisher>Technische Hochschule Brandenburg</thesisPublisher>
  </doc>
  <doc>
    <id>2021</id>
    <completedYear>2013</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>4</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Piscataway, NJ</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation>Institute of Electrical and Electronics Engineers</contributingCorporation>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2018-03-13</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">High quality training materials to detect printed fingerprints : benchmarking three different aquisition sensors producing printing templates</title>
    <parentTitle language="eng">2013 International Workshop on Biometrics and Forensics (IWBF 2013)</parentTitle>
    <identifier type="isbn">978-1-4673-4989-5</identifier>
    <identifier type="isbn">978-1-4673-4987-1</identifier>
    <identifier type="doi">10.1109/IWBF.2013.6547315</identifier>
    <licence>Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0</licence>
    <author>Jennifer Sturm</author>
    <author>Mario Hildebrandt</author>
    <author>Jana Dittmann</author>
    <author>Claus Vielhauer</author>
    <collection role="ddc" number="006">Spezielle Computerverfahren</collection>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
    <thesisPublisher>Technische Hochschule Brandenburg</thesisPublisher>
  </doc>
  <doc>
    <id>2593</id>
    <completedYear>2013</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>204</pageFirst>
    <pageLast>206</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>Springer</publisherName>
    <publisherPlace>Heidelberg</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2020-03-12</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Creation of a Public Corpus of Contact-Less Acquired Latent Fingerprints without Privacy Implications</title>
    <parentTitle language="eng">Communications and Multimedia Security : 14th IFIP TC 6/TC 11 International Conference, CMS 2013, Magdeburg, Germany, September 25-26, 2013. Proceedings</parentTitle>
    <identifier type="doi">10.1007/978-3-642-40779-6_19</identifier>
    <identifier type="isbn">978-3-642-40779-6 (Online)</identifier>
    <licence>Keine Nutzungslizenz vergeben - es gilt das deutsche Urheberrecht</licence>
    <author>Mario Hildebrandt</author>
    <author>Jennifer Sturm</author>
    <author>Jana Dittmann</author>
    <author>Claus Vielhauer</author>
    <series>
      <title>Lecture notes in computer science</title>
      <number>v. 8099</number>
    </series>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Forensics</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>latent fingerprints</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>public data  set</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>privacy aspects</value>
    </subject>
    <collection role="ddc" number="005">Computerprogrammierung, Programme, Daten</collection>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
    <thesisPublisher>Technische Hochschule Brandenburg</thesisPublisher>
  </doc>
  <doc>
    <id>3076</id>
    <completedYear>2017</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>21</pageFirst>
    <pageLast>32</pageLast>
    <pageNumber>12</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>ACM</publisherName>
    <publisherPlace>Philadelphia Pennsylvania USA</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2024-02-13</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Modeling Attacks on Photo-ID Documents and Applying Media Forensics for the Detection of Facial Morphing</title>
    <parentTitle language="eng">Konferenz: IH&amp;MMSec '17: ACM Information Hiding and Multimedia Security Workshop, 2017/ Titel: Proceedings of the 5th ACM Workshop on Information Hiding and Multimedia Security</parentTitle>
    <identifier type="isbn">978-1-4503-5061-7</identifier>
    <identifier type="url">https://dl.acm.org/doi/10.1145/3082031.3083244</identifier>
    <identifier type="doi">10.1145/3082031.3083244</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0</licence>
    <author>Christian Kraetzer</author>
    <author>Andrey Makrushin</author>
    <author>Tom Neubert</author>
    <author>Mario Hildebrandt</author>
    <author>Jana Dittmann</author>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
  </doc>
  <doc>
    <id>3077</id>
    <completedYear>2017</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>6</pageLast>
    <pageNumber>7</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Coventry, United Kingdom</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2024-02-13</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Benchmarking face morphing forgery detection: Application of stirtrace for impact simulation of different processing steps</title>
    <abstract language="eng">We analyze StirTrace towards benchmarking face morphing forgeries and extending it by additional scaling functions for the face biometrics scenario. We benchmark a Benford's law based multi-compression-anomaly detection approach and acceptance rates of morphs for a face matcher to determine the impact of the processing on the quality of the forgeries. We use 2 different approaches for automatically creating 3940 images of morphed faces. Based on this data set, 86614 images are created using StirTrace. A manual selection of 183 high quality morphs is used to derive tendencies based on the subjective forgery quality. Our results show that the anomaly detection seems to be able to detect anomalies in the morphing regions, the multi-compression-anomaly detection performance after the processing can be differentiated into good (e.g. cropping), partially critical (e.g. rotation) and critical results (e.g. additive noise). The influence of the processing on the biometric matcher is marginal.</abstract>
    <parentTitle language="eng">Konferenz: 2017 5th International Workshop on Biometrics and Forensics (IWBF), 2017/ Titel: 2017 5th International Workshop on Biometrics and Forensics (IWBF)</parentTitle>
    <identifier type="isbn">978-1-5090-5791-7</identifier>
    <identifier type="url">http://ieeexplore.ieee.org/document/7935087/</identifier>
    <identifier type="doi">10.1109/IWBF.2017.7935087</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0</licence>
    <author>Mario Hildebrandt</author>
    <author>Tom Neubert</author>
    <author>Andrey Makrushin</author>
    <author>Jana Dittmann</author>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
  </doc>
  <doc>
    <id>3081</id>
    <completedYear>2016</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>5</pageLast>
    <pageNumber>5</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Aalborg, Denmark</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2024-02-14</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Image pre-processing detection: Evaluation of Benford's law, spatial and frequency domain feature performance</title>
    <abstract language="eng">This Paper proposes a novel method for the blind detection of image pre-processing techniques by means of statistical pattern recognition in image forensics. The technique is intended to detect sensor intrinsic pre-processing steps as well as manually applied filters. We have exemplary chosen 6 pre-processing filters with different parameter settings. The concept utilizes 29 image features which are supposed to allow for a reliable model creation during supervised learning. The evaluation of the trained models indicates average accuracies between 82.50 and 94.53%. The investigation of image data from 8 sensors leads to the detection of credible pre-processing filters. Those results adumbrate that our method might be suitable to prove the authenticity of the data origin and the integrity of image data based on the detected preprocessing techniques. The preliminary evaluation for manually applied filters yields recognition accuracies between 39.09% (14 classes) and 53.33% (7 classes).</abstract>
    <parentTitle language="eng">Konferenz: 2016 First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE)/ Titel: 2016 First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE)</parentTitle>
    <identifier type="isbn">978-1-4673-8917-4</identifier>
    <identifier type="url">http://ieeexplore.ieee.org/document/7528405/</identifier>
    <identifier type="doi">10.1109/SPLIM.2016.7528405</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0</licence>
    <author>Tom Neubert</author>
    <author>Mario Hildebrandt</author>
    <author>Jana Dittmann</author>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
  </doc>
  <doc>
    <id>3073</id>
    <completedYear>2018</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>325</pageFirst>
    <pageLast>332</pageLast>
    <pageNumber>8</pageNumber>
    <edition/>
    <issue>Augabe: 4/ Band: 7</issue>
    <volume/>
    <type>article</type>
    <publisherName>Wiley</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2024-02-13</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Extended StirTrace benchmarking of biometric and forensic qualities of morphed face images</title>
    <abstract language="eng">Since its introduction in 2014, the face morphing forgery (FMF) attack has received significant attention from the biometric and media forensic research communities. The attack aims at creating artificially weakened templates which can be successfully matched against multiple persons. If successful, the attack has an immense impact on many biometric authentication scenarios including the application of electronic machine-readable travel document (eMRTD) at automated border control gates. We extend the StirTrace framework for benchmarking FMF attacks by adding five issues: a novel three-fold definition for the quality of morphed images, a novel FMF realisation (combined morphing), a post-processing operation to simulate the digital image format used in eMRTD (passport scaling 15 kB), an automated face recognition system (VGG face descriptor) as additional means for biometric quality assessment and two feature spaces for FMF detection (keypoint features and fusion of keypoint and Benford features) as additional means for forensic quality assessment. We show that the impact of StirTrace post-processing operations on the biometric quality of morphed face images is negligible except for two noise operators and passport scaling 15 kB, the impact on the forensic quality depends on the type of post-processing, and the new FMF realisation outperforms the previously considered ones.</abstract>
    <parentTitle language="eng">IET Biometrics</parentTitle>
    <identifier type="url">https://onlinelibrary.wiley.com/doi/10.1049/iet-bmt.2017.0147</identifier>
    <identifier type="doi">10.1049/iet-bmt.2017.0147</identifier>
    <identifier type="issn">2047-4938, 2047-4946</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0</licence>
    <author>Tom Neubert</author>
    <author>Andrey Makrushin</author>
    <author>Mario Hildebrandt</author>
    <author>Christian Kraetzer</author>
    <author>Jana Dittmann</author>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
    <thesisPublisher>Technische Hochschule Brandenburg</thesisPublisher>
  </doc>
  <doc>
    <id>2863</id>
    <completedYear>2022</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>6</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>INFORUM Verlags- und Verwaltungsgesellschaft mbH</publisherName>
    <publisherPlace>Berlin</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-11-10</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Resilience against and detection of information hiding in nuclear instrumentation and control systems within the scope of NSS 17-T</title>
    <parentTitle language="deu">Kerntechnik 2022, Leipzig, 21. - 22. Juni 2022</parentTitle>
    <identifier type="url">https://www.kerntechnik.com</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="PeerReviewNachweis">nein</enrichment>
    <licence>Keine Nutzungslizenz vergeben - es gilt das deutsche Urheberrecht</licence>
    <author>Lamshöft Kevin</author>
    <author>Mario Hildebrandt</author>
    <author>Robert Altschaffel</author>
    <author>Oliver Keil</author>
    <author>Ivo Hempel</author>
    <author>Jana Dittmann</author>
    <author>Tom Neubert</author>
    <author>Claus Vielhauer</author>
    <collection role="ddc" number="005">Computerprogrammierung, Programme, Daten</collection>
    <collection role="ddc" number="621">Angewandte Physik</collection>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
  </doc>
  <doc>
    <id>2592</id>
    <completedYear>2020</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue>2020:2</issue>
    <volume/>
    <type>article</type>
    <publisherName>Springer</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2020-03-12</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Keystroke biometrics in the encrypted domain: a first study on search suggestion functions of web search engines</title>
    <parentTitle language="eng">EURASIP Journal on Information Security</parentTitle>
    <identifier type="doi">10.1186/s13635-020-0100-8</identifier>
    <enrichment key="PeerReviewNachweis">ja</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0</licence>
    <author>Nicholas Whiskerd</author>
    <author>Nicklas Körtge</author>
    <author>Kris Jürgens</author>
    <author>Salatiel Ezennaya-Gomez</author>
    <author>Claus Vielhauer</author>
    <author>Jana Dittmann</author>
    <author>Mario Hildebrandt</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>keystroke dynamics</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>biometrics</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>search engines</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>encrypted domain</value>
    </subject>
    <collection role="ddc" number="006">Spezielle Computerverfahren</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
    <thesisPublisher>Technische Hochschule Brandenburg</thesisPublisher>
  </doc>
  <doc>
    <id>3014</id>
    <completedYear>2020</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>14</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>IAEA</publisherName>
    <publisherPlace>Vienna, Austria</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2023-12-20</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Threat Analysis of Steganographic and Covert Communication in Nuclear I&amp;C Systems</title>
    <abstract language="eng">Steganographic and covert communication is increasingly used for hiding attacks. Often information hiding is used by attackers in advanced persistent threats in order to operate without being noticed. Attackers might use it to hide data exfiltration or control channels for persistent malware. The paper analyzes potential threats to operational technology by investigating different communication protocols towards their suitability as cover channels. Using a generalized network architecture model and the communication flows of nuclear power plants, the attack potential using information hiding is exemplary assessed. An example for a supply chain attack for command injection is given on the foundation of the OPC UA protocol and an off-theshelf programmable logic controller. Subsequently, recommendations for a strategic and operational preparation for operators towards the prevention and detection of information hiding attacks are derived.</abstract>
    <parentTitle language="deu">Konferenz: International Conference on Nuclear Security: Sustaining and Strengthening Efforts (ICONS), Vienna, Austria, 2020/ Konferenzband: International Conference on Nuclear Security: Sustaining and Strengthening Efforts</parentTitle>
    <identifier type="url">https://www.researchgate.net/publication/350966454_Threat_Analysis_of_Steganographic_and_Covert_Communication_in_Nuclear_IC_Systems</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="PeerReviewNachweis">nein</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0</licence>
    <author>Mario Hildebrandt</author>
    <author>Robert Altschaffel</author>
    <author>Kevin Lamshöft</author>
    <author>Mathias Lange</author>
    <author>Martin Szemkus</author>
    <author>Tom Neubert</author>
    <author>Claus Vielhauer</author>
    <author>Yongjian Ding</author>
    <author>Jana Dittmann</author>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
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