Publikation:

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

Lade...
Vorschaubild

Dateien

Fischer_0-267315.pdf
Fischer_0-267315.pdfGröße: 1.55 MBDownloads: 612

Datum

2014

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

ArXiv-ID

Internationale Patentnummer

Angaben zur Forschungsförderung

Projekt

Open Access-Veröffentlichung
Open Access Green
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published

Erschienen in

LANE HARRISON ..., , ed.. Proceedings of the Eleventh Workshop on Visualization for Cyber Security (VizSec '14), Paris, France, November 10, 2014. New York, NY: ACM, 2014, pp. 65-72. ISBN 978-1-4503-2826-5. Available under: doi: 10.1145/2671491.2671495

Zusammenfassung

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.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

Konferenz

VizSec '14 : 11th International Symposium on Visualization for Cyber Security, 10. Nov. 2014, Paris
Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690FISCHER, 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. New York, NY: ACM, 2014, pp. 65-72. ISBN 978-1-4503-2826-5. Available under: doi: 10.1145/2671491.2671495
BibTex
@inproceedings{Fischer2014NStre-30006,
  year={2014},
  doi={10.1145/2671491.2671495},
  title={NStreamAware : Real-Time Visual Analytics for Data Streams to Enhance Situational Awareness},
  isbn={978-1-4503-2826-5},
  publisher={ACM},
  address={New York, NY},
  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:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/30006">
    <dc:creator>Fischer, Fabian</dc:creator>
    <dc:contributor>Keim, Daniel A.</dc:contributor>
    <dcterms:title>NStreamAware : Real-Time Visual Analytics for Data Streams to Enhance Situational Awareness</dcterms:title>
    <dcterms:issued>2014</dcterms:issued>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:contributor>Fischer, Fabian</dc:contributor>
    <dc:creator>Keim, Daniel A.</dc:creator>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:language>eng</dc:language>
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/30006"/>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/30006/1/Fischer_0-267315.pdf"/>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-02-24T14:40:36Z</dcterms:available>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <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:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/30006/1/Fischer_0-267315.pdf"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-02-24T14:40:36Z</dc:date>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:rights>terms-of-use</dc:rights>
  </rdf:Description>
</rdf:RDF>

Interner Vermerk

xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter

Kontakt
URL der Originalveröffentl.

Prüfdatum der URL

Prüfungsdatum der Dissertation

Finanzierungsart

Kommentar zur Publikation

Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Diese Publikation teilen