Janis Zemitis

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Daniel Fraunholz

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Publications

2021
[i2]
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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2104-03631
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  - https://dblp.org/rec/journals/corr/abs-2104-03631
Daniel Reti, Daniel Fraunholz, Janis Zemitis, Daniel Schneider, Hans Dieter Schotten:
Deep Down the Rabbit Hole: On References in Networks of Decoy Elements. CoRR abs/2104.03631 (2021)
2020
[c3]
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  dblp key:
  - conf/cybersecpods/RetiFZ0S20
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  - https://dblp.org/rec/conf/cybersecpods/RetiFZ0S20
Daniel Reti, Daniel Fraunholz, Janis Zemitis, Daniel Schneider, Hans Dieter Schotten:
Deep Down the Rabbit Hole: On References in Networks of Decoy Elements. Cyber Security 2020: 1-11
2019
[i1]
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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-1906-03064
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Simon Duque Antón, Daniel Fraunholz, Janis Zemitis, Frederic Pohl, Hans Dieter Schotten:
Highly Scalable and Flexible Model for Effective Aggregation of Context-based Data in Generic IIoT Scenarios. CoRR abs/1906.03064 (2019)
2018
[c2]
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  dblp key:
  - conf/cecc/FraunholzSZS18
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  - https://dblp.org/rec/conf/cecc/FraunholzSZS18
Daniel Fraunholz, Daniel Schneider, Janis Zemitis, Hans Dieter Schotten:
Hack My Company: An Empirical Assessment of Post-exploitation Behavior and Lateral Movement in Cloud Environments. CECC 2018: 3:1-3:6
2017
[c1]
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  - electronic edition @ ceur-ws.org (open access)
  - details & citations
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  dblp key:
  - conf/zeus/AntonFZPS17
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  persistent URL:
  - https://dblp.org/rec/conf/zeus/AntonFZPS17
Simon Duque Antón, Daniel Fraunholz, Janis Zemitis, Frederic Pohl, Hans Dieter Schotten:
Highly Scalable and Flexible Model for Effective Aggregation of Context-based Data in Generic IIoT Scenarios. ZEUS 2017: 51-58

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