Publikation:

BANKSAFE : A Visual Situational Awareness Tool for Large-Scale Computer Networks (Award for Outstanding Comprehensive Submission)

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Fischer_225178.pdf
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2012

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http://nbn-resolving.de/urn:nbn:de:bsz:352-225178
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https://doi.org/10.1109/VAST.2012.6400528
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2012 IEEE Conference on Visual Analytics Science and Technology (VAST). IEEE, 2012, pp. 257-258. ISBN 978-1-4673-4752-5. Available under: doi: 10.1109/VAST.2012.6400528

Zusammenfassung

With the reliance of businesses, public institutions and individuals on large computer networks, maintaining their security becomes essential to ensure integrity. To achieve situational awareness, we developed Banksafe, which is a scalable, distributed and web-based visualization system to analyze health monitoring data and security datasets. To handle large amounts of data a cloud-based backend database is used to store and analyze the raw data. To evaluate the effectiveness of our approach we use both VAST 2012 mini challenges. Our case studies successfully identify suspicious events, trends and patterns using multiple visualizations.

Zusammenfassung in einer weiteren Sprache

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004 Informatik

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2012 IEEE Conference on Visual Analytics Science and Technology (VAST), 14. Okt. 2012 - 19. Okt. 2012, Seattle, WA, USA
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ISO 690FISCHER, Fabian, Johannes FUCHS, Florian MANSMANN, Daniel A. KEIM, 2012. BANKSAFE : A Visual Situational Awareness Tool for Large-Scale Computer Networks (Award for Outstanding Comprehensive Submission). 2012 IEEE Conference on Visual Analytics Science and Technology (VAST). Seattle, WA, USA, 14. Okt. 2012 - 19. Okt. 2012. In: 2012 IEEE Conference on Visual Analytics Science and Technology (VAST). IEEE, 2012, pp. 257-258. ISBN 978-1-4673-4752-5. Available under: doi: 10.1109/VAST.2012.6400528
BibTex
@inproceedings{Fischer2012-10BANKS-22517,
  year={2012},
  doi={10.1109/VAST.2012.6400528},
  title={BANKSAFE : A Visual Situational Awareness Tool for Large-Scale Computer Networks (Award for Outstanding Comprehensive Submission)},
  isbn={978-1-4673-4752-5},
  publisher={IEEE},
  booktitle={2012 IEEE Conference on Visual Analytics Science and Technology (VAST)},
  pages={257--258},
  author={Fischer, Fabian and Fuchs, Johannes and Mansmann, Florian and Keim, Daniel A.}
}
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