Integrated Visualization of Network Security Metadata from Heterogeneous Data Sources

  • Volker AhlersEmail author
  • Felix Heine
  • Bastian Hellmann
  • Carsten Kleiner
  • Leonard Renners
  • Thomas Rossow
  • Ralf Steuerwald
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9390)


In computer networks many components produce valuable information about themselves or other participants, especially security analysis relevant information. Although such information is intrinsically related as components are connected by a network, most of them still operate independently and do not share data amongst each other. Furthermore, the highly dynamic nature of a network hampers a profound understanding of security relevant situations, such as attack scenarios. Hence, a comprehensive view of the network including multiple information sources as well as temporal network evolution would significantly improve security analysis and evaluation capabilities. In this paper, we introduce a comprehensive approach for an integrated visualization, covering all aspects from data acquisition in various sources up to visual representation of the integrated information. We analyze the requirements on the basis of an exemplary scenario, propose solutions covering these demands based on the IF-MAP protocol, and introduce our software application VisITMeta as a prototypical implementation. We show how the graph-based IF-MAP protocol provides a graphical model for an integrated view of network security.


Unify Modeling Language Network State Network Security Identifier Node Attack Graph 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The fruitful collaboration with Gabi Dreo Rodosek, Josef von Helden, Frauke Sprengel, and our students is gratefully acknowledged. This work is financially supported by the German Federal Ministry of Education and Research (BMBF) within the projects VisITMeta (grant no. 17PNT032) and SIMU (grant no. 16KIS0045).


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Volker Ahlers
    • 1
    Email author
  • Felix Heine
    • 1
  • Bastian Hellmann
    • 1
  • Carsten Kleiner
    • 1
  • Leonard Renners
    • 1
  • Thomas Rossow
    • 1
  • Ralf Steuerwald
    • 1
  1. 1.Faculty IV, Department of Computer ScienceUniversity of Applied Sciences and Arts HannoverHannoverGermany

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