Anomaly detection for internet surveillance
conference paper
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. 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.
Topics
TNO Identifier
460364
Publisher
SPIE
Article nr.
840807
Source title
Cyber Sensing 2012, 24 April 2012, Baltimore, MD, USA
Editor(s)
Ternovskiy, I.V.
Chin, P.
Chin, P.
Place of publication
Bellingham, WA