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Open Data for Anomaly Detection in Maritime Surveillance
Blekinge Institute of Technology, School of Computing.
Blekinge Institute of Technology, School of Computing.
Blekinge Institute of Technology, School of Computing.
Blekinge Institute of Technology, School of Computing.
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2013 (English)In: Expert Systems with Applications, ISSN 0957-4174, Vol. 40, no 14, p. 5719-5729Article in journal (Refereed) Published
Abstract [en]

Maritime Surveillance has received increased attention from a civilian perspective in recent years. Anomaly detection is one of many techniques available for improving the safety and security in this domain. Maritime authorities use confidential data sources for monitoring the maritime activities; however, a paradigm shift on the Internet has created new open sources of data. We investigate the potential of using open data as a complementary resource for anomaly detection in maritime surveillance. We present and evaluate a decision support system based on open data and expert rules for this purpose. We conduct a case study in which experts from the Swedish coastguard participate to conduct a real-world validation of the system. We conclude that the exploitation of open data as a complementary resource is feasible since our results indicate improvements in the efficiency and effectiveness of the existing surveillance systems by increasing the accuracy and covering unseen aspects of maritime activities.

Place, publisher, year, edition, pages
Elsevier , 2013. Vol. 40, no 14, p. 5719-5729
Keywords [en]
Open data, Anomaly detection, Maritime security, Maritime domain awareness
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:bth-6807DOI: 10.1016/j.eswa.2013.04.029ISI: 000321089200029Local ID: oai:bth.se:forskinfoD455168E88392FDDC1257B6200290B99OAI: oai:DiVA.org:bth-6807DiVA, id: diva2:834354
Available from: 2013-12-17 Created: 2013-05-05 Last updated: 2018-01-11Bibliographically approved

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Kazemi, SamiraAbghari, ShahroozLavesson, NiklasJohnson, Henric

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf