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    <id>3480</id>
    <completedYear>2025</completedYear>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst>731</pageFirst>
    <pageLast>736</pageLast>
    <pageNumber/>
    <edition/>
    <issue>11</issue>
    <volume>49</volume>
    <type>article</type>
    <publisherName>Springer</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2025-12-05</completedDate>
    <publishedDate>2025-12-05</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Attribution im IT-Grundschutz des BSI:  Ausweitung der Detektion von Cyberangriffen im IT-Sicherheitsprozess</title>
    <abstract language="deu">Inzwischen hat sich die Einsicht durchgesetzt, dass Cyberangriffe nicht komplett verhindert werden können. Stattdessen sollen die möglichen Auswirkungen von Vorfällen sinnvoll reduziert werden. Damit steigt die Bedeutung der Erkennung von Sicherheitsvorfällen, um schnell reagieren und das Schadensausmaß begrenzen zu können. Damit die Fortschritte bei der Erkennung künftig auch in der Praxis angewendet werden können, ist eine Verankerung in den entsprechenden Vorgehensweisen erforderlich. Dies erfolgt nachfolgend am Beispiel des IT-Grundschutzes, dessen Methoden in der deutschsprachigen IT-Sicherheitscommunity verbreitet sind.</abstract>
    <parentTitle language="deu">Datenschutz und Datensicherheit (DuD)</parentTitle>
    <identifier type="doi">10.1007/s11623-025-2173-5</identifier>
    <enrichment key="PeerReviewNachweis">nein</enrichment>
    <enrichment key="opus.source">publish</enrichment>
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    <licence>Keine Nutzungslizenz vergeben - es gilt das deutsche Urheberrecht</licence>
    <author>Michael Pilgermann</author>
    <author>Claus Vielhauer</author>
    <author>Denis Petrov</author>
    <author>Jana Dittmann</author>
    <author>Christian Krätzer</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>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>
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    <enrichment key="opus.doi.autoCreate">false</enrichment>
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    <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>3107</id>
    <completedYear>2013</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>61</pageFirst>
    <pageLast>74</pageLast>
    <pageNumber>14</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>Springer Berlin Heidelberg</publisherName>
    <publisherPlace>Berlin, Heidelberg</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2024-02-14</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Proposal of Non-invasive Fingerprint Age Determination to Improve Data Privacy Management in Police Work from a Legal Perspective Using the Example of Germany</title>
    <parentTitle language="eng">Konferenz: International Workshop on Autonomous and Spontaneous Security/ Titel: Data Privacy Management and Autonomous Spontaneous Security</parentTitle>
    <identifier type="isbn">978-3-642-35889-0 978-3-642-35890-6</identifier>
    <identifier type="url">978-3-642-35889-0 978-3-642-35890-6</identifier>
    <identifier type="doi">10.1007/978-3-642-35890-6_5</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>Ronny Merkel</author>
    <author>Matthias Pocs</author>
    <author>Jana Dittmann</author>
    <author>Claus Vielhauer</author>
    <series>
      <title>Lecture notes in computer science</title>
      <number>7731</number>
    </series>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
  </doc>
  <doc>
    <id>3112</id>
    <completedYear>2012</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>SPIE</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2024-02-14</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A first approach to the detection and equalization of distorted latent fingerprints and microtraces on non-planar surfaces with confocal laser microscopy</title>
    <parentTitle language="eng">Konferenz: SPIE Security + Defence 24-27 September 2012; Edinburgh, United Kingdom/ Titel: Proceedings Volume 8546 SPIE Security + Defence | 24-27 September 2012 Optics and Photonics for Counterterrorism, Crime Fighting, and Defence VIII</parentTitle>
    <identifier type="url">http://proceedings.spiedigitallibrary.org/proceeding.aspx?doi=10.1117/12.971452</identifier>
    <identifier type="doi">10.1117/12.971452</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
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    <licence>Creative Commons - CC BY - Namensnennung 4.0</licence>
    <author>Stefan Kirst</author>
    <author>Eric Clausing</author>
    <author>Jana Dittmann</author>
    <author>Claus Vielhauer</author>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
  </doc>
  <doc>
    <id>3114</id>
    <completedYear>2012</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>SPIE</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2024-02-14</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A first approach for digital representation and automated classification of toolmarks on locking cylinders using confocal laser microscopy</title>
    <parentTitle language="eng">Konferenz: SPIE Security + Defence 24-27 September 2012; Edinburgh, United Kingdom/ Titel: Proceedings Volume 8546 - SPIE Security + Defence 24-27 September 2012 - Optics and Photonics for Counterterrorism, Crime Fighting, and Defence VIII</parentTitle>
    <identifier type="url">http://proceedings.spiedigitallibrary.org/proceeding.aspx?doi=10.1117/12.971454</identifier>
    <identifier type="doi">10.1117/12.971454</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>Eric Clausing</author>
    <author>Christian Kraetzer</author>
    <author>Jana Dittmann</author>
    <author>Claus Vielhauer</author>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
  </doc>
  <doc>
    <id>3063</id>
    <completedYear>2019</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>6</pageLast>
    <pageNumber>6</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Delft, Netherlands</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2024-02-13</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Visual Feature Space Analyses of Face Morphing Detectors</title>
    <parentTitle language="eng">Konferenz: 2019 IEEE International Workshop on Information Forensics and Security (WIFS), Delft, Netherlands, 2019/ Konferenztitel: 2019 IEEE International Workshop on Information Forensics and Security (WIFS)</parentTitle>
    <identifier type="isbn">978-1-72813-217-4</identifier>
    <identifier type="url">https://ieeexplore.ieee.org/document/9034983/</identifier>
    <identifier type="doi">10.1109/WIFS47025.2019.9034983</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>Clemens Seibold</author>
    <author>Anna Hilsmann</author>
    <author>Andrey Makrushin</author>
    <author>Christian Kraetzer</author>
    <author>Tom Neubert</author>
    <author>Jana Dittmann</author>
    <author>Peter Eisert</author>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
  </doc>
  <doc>
    <id>3064</id>
    <completedYear>2019</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>513</pageFirst>
    <pageLast>520</pageLast>
    <pageNumber>8</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>SCITEPRESS - Science and Technology Publications</publisherName>
    <publisherPlace>Prague, Czech Republic</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2024-02-13</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Humans Vs. Algorithms: Assessment of Security Risks Posed by Facial Morphing to Identity Verification at Border Control</title>
    <parentTitle language="eng">Konferenz: 14th International Conference on Computer Vision Theory and Applications, Prague, Czech Republic, 2019/ Titel: Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications</parentTitle>
    <identifier type="isbn">978-989-758-354-4</identifier>
    <identifier type="url">http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0007378905130520</identifier>
    <identifier type="doi">10.5220/0007378905130520</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
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    <licence>Creative Commons - CC BY - Namensnennung 4.0</licence>
    <author>Andrey Makrushin</author>
    <author>Tom Neubert</author>
    <author>Jana Dittmann</author>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
  </doc>
  <doc>
    <id>3065</id>
    <completedYear>2019</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>95</pageFirst>
    <pageLast>100</pageLast>
    <pageNumber>6</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>ACM</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2024-02-13</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A Face Morphing Detection Concept with a Frequency and a Spatial Domain Feature Space for Images on eMRTD</title>
    <abstract language="eng">Since the face morphing attack was introduced by Ferrara et al. in 2014, the detection of face morphings has become a wide spread topic in image forensics. By now, the community is very active and has reported diverse detection approaches. So far, the evaluations are mostly performed on images without post-processing. Face images stored within electronic machine readable documents (eMRTD) are ICAO-passport-scaled to a resolution of 413x531 and a JPG or JP2 lesize of 15 kilobytes. This paper introduces a face morphing detection concept with 3 modules (ICAO-aligned pre- processing module, feature extraction module and classi cation module), tailored for such images on eMRTD. In this work we exemplary design and evaluate two feature spaces for the feature extraction module, a frequency domain and a spatial domain feature space. Our evaluation will compare both feature spaces and is carried out with 66,229 passport-scaled images (64,363 morphed face images and 1,866 authentic face images) which are completly independent from training and include all images provided for the IHMMSEC'19 special session: "Media Forensics - Fake or Real?". Furthermore, we investigate the in uence of di erent morph gen- eration pipelines to the detection accuracies of the concept and we analyse the impact of neutral and smiling genuine faces to the morph detector performance. The evaluation determines a detection rate of 86.0% for passport-scaled morphed images with a false alarm rate of 4.4% for genuine images for the spatial domain feature space.</abstract>
    <parentTitle language="eng">Konferenz: IH&amp;MMSec '19: ACM Information Hiding and Multimedia Security Workshop; Paris, France; July 3-5, 2019/ Titel: Proceedings of the ACM Workshop on Information Hiding and Multimedia Security</parentTitle>
    <identifier type="isbn">978-1-4503-6821-6</identifier>
    <identifier type="url">https://dl.acm.org/doi/10.1145/3335203.3335721</identifier>
    <identifier type="doi">10.1145/3335203.3335721</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>Christian Kraetzer</author>
    <author>Jana Dittmann</author>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
  </doc>
  <doc>
    <id>3072</id>
    <completedYear>2018</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>49</pageFirst>
    <pageLast>54</pageLast>
    <pageNumber>6</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>ACM</publisherName>
    <publisherPlace>Innsbruck Austria</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2024-02-13</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Generalized Benford's Law for Blind Detection of Morphed Face Images</title>
    <parentTitle language="eng">Konferenz: IH&amp;MMSec '18: 6th ACM Workshop on Information Hiding and Multimedia Security, 2018/ Titel: Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia Security</parentTitle>
    <identifier type="isbn">978-1-4503-5625-1</identifier>
    <identifier type="url">https://dl.acm.org/doi/10.1145/3206004.3206018</identifier>
    <identifier type="doi">10.1145/3206004.3206018</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>Andrey Makrushin</author>
    <author>Christian Kraetzer</author>
    <author>Tom Neubert</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>3074</id>
    <completedYear>2018</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1002</pageFirst>
    <pageLast>1006</pageLast>
    <pageNumber>5</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Rome</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2024-02-13</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Reducing the False Alarm Rate for Face Morph Detection by a Morph Pipeline Footprint Detector</title>
    <parentTitle language="eng">Konferenz: 2018 26th European Signal Processing Conference (EUSIPCO), 2018/ Titel: 2018 26th European Signal Processing Conference (EUSIPCO)</parentTitle>
    <identifier type="isbn">978-90-827970-1-5</identifier>
    <identifier type="url">https://ieeexplore.ieee.org/document/8553067/</identifier>
    <identifier type="doi">10.23919/EUSIPCO.2018.8553067</identifier>
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    <enrichment key="opus.doi.autoCreate">false</enrichment>
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    <licence>Creative Commons - CC BY - Namensnennung 4.0</licence>
    <author>Tom Neubert</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>
  </doc>
  <doc>
    <id>3075</id>
    <completedYear>2017</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>39</pageFirst>
    <pageLast>50</pageLast>
    <pageNumber>12</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>SCITEPRESS - Science and Technology Publications</publisherName>
    <publisherPlace>Porto, Portugal</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2024-02-13</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Automatic Generation and Detection of Visually Faultless Facial Morphs</title>
    <abstract language="eng">This paper introduces an approach to automatic generation of visually faultless facial morphs along with a proposal on how such morphs can be automatically detected. It is endeavored that the created morphs cannot be recognized as such with the naked eye and a reference automatic face recognition (AFR) system produces high similarity scores while matching a morph against faces of persons who participated in morphing. Automatic generation of morphs allows for creating abundant experimental data, which is essential (i) for evaluating the performance of AFR systems to reject morphs and (ii) for training forensic systems to detect morphs. Our first experiment shows that human performance to distinguish between morphed and genuine face images is close to random guessing. In our second experiment, the reference AFR system has verified 11.78% of morphs against any of genuine images at the decision threshold of 1% false acceptance rate. These results indicate that facial morphing is a serious threat to access control systems aided by AFR and establish the need for morph detection approaches. Our third experiment shows that the distribution of Benford features extracted from quantized DCT coefficients of JPEG-compressed morphs is substantially different from that of genuine images enabling the automatic detection of morphs.</abstract>
    <parentTitle language="eng">Konferenz: International Conference on Computer Vision Theory and Applications, 2017/ Titel: Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications</parentTitle>
    <identifier type="isbn">978-989-758-225-7 978-989-758-226-4 978-989-758-227-1</identifier>
    <identifier type="url">http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0006131100390050</identifier>
    <identifier type="doi">10.5220/0006131100390050</identifier>
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    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0</licence>
    <author>Andrey Makrushin</author>
    <author>Tom Neubert</author>
    <author>Jana Dittmann</author>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
  </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>
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    <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>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>
  </doc>
  <doc>
    <id>3000</id>
    <completedYear>2021</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>12</pageLast>
    <pageNumber>12</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>ACM</publisherName>
    <publisherPlace>Vienna Austria</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2023-12-18</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A Revised Taxonomy of Steganography Embedding Patterns</title>
    <abstract language="eng">Steganography embraces several hiding techniques which spawn across multiple domains. However, the related terminology is not unified among the different domains, such as digital media steganography, text steganography, cyber-physical systems steganography, network steganography (network covert channels), local covert channels, and out-of-band covert channels. To cope with this, a prime attempt has been done in 2015, with the introduction of the so-called hiding patterns, which allow to describe hiding techniques in a more abstract manner. Despite significant enhancements, the main limitation of such a taxonomy is that it only considers the case of network steganography. Therefore, this paper reviews both the terminology and the taxonomy of hiding patterns as to make them more general. Specifically, hiding patterns are split into those that describe the embedding and the representation of hidden data within the cover object. As a first research action, we focus on embedding hiding patterns and we show how they can be applied to multiple domains of steganography instead of being limited to the network scenario. Additionally, we exemplify representation patterns using network steganography.</abstract>
    <parentTitle language="eng">Konferenz: ARES 2021: The 16th International Conference on Availability, Reliability and Security, Vienna Austria, 2021/ Konferenzband: Proc. of the 16th International Conference on Availability, Reliability and Security (ARES'21), August 17--20, 2021, Vienna, Austria</parentTitle>
    <identifier type="isbn">978-1-4503-9051-4</identifier>
    <identifier type="url">https://dl.acm.org/doi/10.1145/3465481.3470069</identifier>
    <identifier type="doi">10.1145/3465481.3470069</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="PeerReviewNachweis">ja</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0</licence>
    <author>Steffen Wendzel</author>
    <author>Luca Caviglione</author>
    <author>Wojciech Mazurczyk</author>
    <author>Aleksandra Mileva</author>
    <author>Jana Dittmann</author>
    <author>Christian Krätzer</author>
    <author>Kevin Lamshöft</author>
    <author>Claus Vielhauer</author>
    <author>Laura Hartmann</author>
    <author>Jörg Keller</author>
    <author>Tom Neubert</author>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
  </doc>
  <doc>
    <id>2984</id>
    <completedYear>2023</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>preprint</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2023-12-14</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A Generic Taxonomy for Steganography Methods</title>
    <abstract language="eng">A unified understanding of terms and their applicability is essential for every scientific discipline: steganography is no exception. Being divided into several domains (for instance, text steganography, digital media steganography, and network steganography), it is crucial to provide a unified terminology as well as a taxonomy that is not limited to some specific applications or areas. A prime attempt towards a unified understanding of terms was conducted in 2015 with the introduction of a pattern-based taxonomy for network steganography. Six years later, in 2021, the first work towards a pattern-based taxonomy for steganography was proposed. However, this initial attempt still faced several shortcomings, e.g., the lack of patterns for several steganography domains (the work mainly focused on network steganography and covert channels), various terminology issues, and the need of providing a tutorial on how the taxonomy can be used during engineering and scientific tasks, including the paper-writing process.&lt;/p&gt;&#13;
&lt;p&gt;As the consortium who published this initial 2021-study on steganography patterns, in this paper we present the first comprehensive pattern-based taxonomy tailored to fit all known domains of steganography, including smaller and emerging areas, such as filesystem steganography and cyber-physical systems steganography. Besides, to make our contribution more effective and promote the use of the taxonomy to advance research on steganography, we also provide a thorough tutorial on its utilization. &lt;/p&gt;&#13;
&lt;p&gt;Our pattern collection is available at &lt;a href="https://patterns.ztt.hs-worms.de/" target="_blank"&gt;https://patterns.ztt.hs-worms.de&lt;/a&gt;.&lt;/p&gt;</abstract>
    <identifier type="doi">10.36227/techrxiv.20215373.v1</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="PeerReviewNachweis">nein</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0</licence>
    <author>Steffen Wendzel</author>
    <author>Luca Caviglione</author>
    <author>Wojciech Mazurczyk</author>
    <author>Aleksandra Mileva</author>
    <author>Jana Dittmann</author>
    <author>Christian Krätzer</author>
    <author>Kevin Lamshöft</author>
    <author>Claus Vielhauer</author>
    <author>Laura Hartmann</author>
    <author>Jörg Keller</author>
    <author>Tom Neubert</author>
    <author>Sebastian Zillien</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>2976</id>
    <completedYear>2022</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>413</pageFirst>
    <pageLast>423</pageLast>
    <pageNumber>10</pageNumber>
    <edition/>
    <issue>13106</issue>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>Springer</publisherName>
    <publisherPlace>Cham</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2023-12-12</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A Semantic Model for Embracing Privacy as Contextual Integrity in the Internet of Things</title>
    <abstract language="eng">Due to the increasing number of complaints alleging privacy violations against companies to data protection authorities, the translation of business goals to system design goals and the subsequent consequences for customers’ privacy poses a challenge for many companies. For this reason, there is a need to bridge the economics of privacy and threats to privacy. To this end, our work relies on the concept of privacy as contextual integrity. This framework defines privacy as appropriate information flows subjected to social norms within particular social contexts or spheres. In this paper, we introduce a preliminary version of a semantic model which aims to relate and provide understanding on how well-established business goals may affect their customers’ privacy by designing IoT devices with permission access, data acquired by sensors, among other factors. Finally, we provide a use case application showing how to use the semantic model. The model aims to be an educational tool for professionals in business informatics during the modeling and designing process of a product which may gather sensitive data or may infer sensitive information, giving an understanding of the interaction of the product and its footprint with diverse actors (humans or machines). In the future, a further complete model of the presented may also target other groups, such as law enforcement bodies, as part of their educational training in such systems.</abstract>
    <parentTitle language="eng">European Symposium on Research in Computer Security, Cham, 2022&#13;
Konferenzband: Computer Security. ESORICS 2021 International Workshops</parentTitle>
    <identifier type="isbn">978-3-030-95483-3 978-3-030-95484-0</identifier>
    <identifier type="url">https://link.springer.com/10.1007/978-3-030-95484-0_24</identifier>
    <identifier type="doi">10.1007/978-3-030-95484-0_24</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="PeerReviewNachweis">ja</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0</licence>
    <author>Salatiel Ezennaya-Gomez</author>
    <author>Claus Vielhauer</author>
    <author>Jana Dittmann</author>
    <series>
      <title>Lecture notes in computer science</title>
      <number>13106</number>
    </series>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
  </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>2680</id>
    <completedYear>2021</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>113</pageFirst>
    <pageLast>124</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>ACM</publisherName>
    <publisherPlace>New York</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Information Hiding in Cyber Physical Systems: Challenges for Embedding, Retrieval and Detection using Sensor Data of the SWAT Dataset</title>
    <parentTitle language="eng">IH&amp;MMSec '21: Proceedings of the ACM Workshop on Information Hiding and Multimedia Security; Virtual Event Belgium, June 22 - 25, 2021</parentTitle>
    <identifier type="doi">10.1145/3437880.3460413</identifier>
    <identifier type="isbn">978-1-4503-8295-3</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="PeerReviewNachweis">ja</enrichment>
    <licence>Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0</licence>
    <author>Kevin Lamshöft</author>
    <author>Tom Neubert</author>
    <author>Christian Krätzer</author>
    <author>Claus Vielhauer</author>
    <author>Jana Dittmann</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Information Hiding</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Steganography</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Covert Channels</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Network Covert Channels</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Cyber Physical Systems</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Industrial Control Systems</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Sensor</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Steganalysis</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Detection</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Warden</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>2616</id>
    <completedYear>2020</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>115</pageFirst>
    <pageLast>120</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>The Association for Computing Machinery</publisherName>
    <publisherPlace>New York</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2020-07-28</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Information Hiding in Industrial Control Systems: An OPC UA based Supply Chain Attack and its Detection</title>
    <parentTitle language="eng">Proceedings of the 2020 ACM Workshop on Information Hiding and Multimedia Security (IH&amp;MMSec’20), June 22–24, 2020, Denver, CO, USA</parentTitle>
    <identifier type="doi">10.1145/3369412</identifier>
    <enrichment key="PeerReviewNachweis">ja</enrichment>
    <licence>Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0</licence>
    <author>Mario Hildebrandt</author>
    <author>Kevin Lamshöft</author>
    <author>Jana Dittmann</author>
    <author>Tom Neubert</author>
    <author>Claus Vielhauer</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Information Hiding</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Steganography</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Process automation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Industrial Control Systems</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>OPC UA</value>
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    <collection role="ddc" number="005">Computerprogrammierung, Programme, Daten</collection>
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    <parentTitle language="eng">EUSIPCO 2018 : 2018 26th European Signal Processing Conference, Rome, Italy, September 3-7, 2018</parentTitle>
    <identifier type="doi">10.23919/EUSIPCO.2018.8553045</identifier>
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    <author>Ronny Merkel</author>
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