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Proceedings Paper

Anomaly detection for internet surveillance
Author(s): Henri Bouma; Stephan Raaijmakers; Arvid Halma; Harry Wedemeijer
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Paper Abstract

Many threats in the real world can be related to activity of persons on the internet. Internet surveillance aims to predict and prevent attacks and to assist in finding suspects based on information from the web. However, the amount of data on the internet rapidly increases and it is time consuming to monitor many websites. In this paper, we present a novel method to automatically monitor trends and find anomalies on the internet. The system was tested on Twitter data. The results showed that it can successfully recognize abnormal changes in activity or emotion.

Paper Details

Date Published: 5 May 2012
PDF: 11 pages
Proc. SPIE 8408, Cyber Sensing 2012, 840807 (5 May 2012); doi: 10.1117/12.918573
Show Author Affiliations
Henri Bouma, TNO (Netherlands)
Stephan Raaijmakers, TNO (Netherlands)
Arvid Halma, TNO (Netherlands)
Harry Wedemeijer, TNO (Netherlands)


Published in SPIE Proceedings Vol. 8408:
Cyber Sensing 2012
Igor V. Ternovskiy; Peter Chin, Editor(s)

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