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NStreamAware : Real-Time Visual Analytics for Data Streams to Enhance Situational Awareness

NStreamAware : Real-Time Visual Analytics for Data Streams to Enhance Situational Awareness

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FISCHER, Fabian, Daniel A. KEIM, 2014. NStreamAware : Real-Time Visual Analytics for Data Streams to Enhance Situational Awareness. VizSec '14 : 11th International Symposium on Visualization for Cyber Security. Paris, 10. Nov 2014. In: LANE HARRISON ..., , ed.. Proceedings of the Eleventh Workshop on Visualization for Cyber Security (VizSec '14), Paris, France, November 10, 2014. VizSec '14 : 11th International Symposium on Visualization for Cyber Security. Paris, 10. Nov 2014. New York, NY:ACM, pp. 65-72. ISBN 978-1-4503-2826-5

@inproceedings{Fischer2014NStre-30006, title={NStreamAware : Real-Time Visual Analytics for Data Streams to Enhance Situational Awareness}, year={2014}, doi={10.1145/2671491.2671495}, isbn={978-1-4503-2826-5}, address={New York, NY}, publisher={ACM}, booktitle={Proceedings of the Eleventh Workshop on Visualization for Cyber Security (VizSec '14), Paris, France, November 10, 2014}, pages={65--72}, editor={Lane Harrison ...}, author={Fischer, Fabian and Keim, Daniel A.} }

<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/30006"> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-02-24T14:40:36Z</dcterms:available> <dcterms:abstract xml:lang="eng">The analysis of data streams is important in many security-related domains to gain situational awareness. To provide monitoring and visual analysis of such data streams, we propose a system, called NStreamAware, that uses modern distributed processing technologies to analyze streams using stream slices, which are presented to analysts in a web-based visual analytics application, called NVisAware. Furthermore, we visually guide the user in the feature selection process to summarize the slices to focus on the most interesting parts of the stream based on introduced expert knowledge of the analyst. We show through case studies, how the system can be used to gain situational awareness and eventually enhance network security. Furthermore, we apply the system to a social media data stream to compete in an international challenge to evaluate the applicability of our approach to other domains.</dcterms:abstract> <dcterms:issued>2014</dcterms:issued> <dc:language>eng</dc:language> <dc:contributor>Keim, Daniel A.</dc:contributor> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/30006"/> <dcterms:title>NStreamAware : Real-Time Visual Analytics for Data Streams to Enhance Situational Awareness</dcterms:title> <dcterms:rights rdf:resource="http://nbn-resolving.de/urn:nbn:de:bsz:352-20150305140228786-3747162-5"/> <dc:creator>Fischer, Fabian</dc:creator> <dc:contributor>Fischer, Fabian</dc:contributor> <dc:creator>Keim, Daniel A.</dc:creator> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-02-24T14:40:36Z</dc:date> </rdf:Description> </rdf:RDF>

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