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WETICE
2005
IEEE
16 years 25 days ago
Entropy Based Worm and Anomaly Detection in Fast IP Networks
Detecting massive network events like worm outbreaks in fast IP networks, such as Internet backbones, is hard. One problem is that the amount of traffic data does not allow real-t...
Arno Wagner, Bernhard Plattner
GISCIENCE
2008
Springer
186views GIS» more  GISCIENCE 2008»
15 years 8 months ago
Detecting Topological Change Using a Wireless Sensor Network
Dynamic geographic phenomena, such as forest fires and oil spills, can have dire environmental, sociopolitical, and economic consequences. Mitigating, if not preventing such events...
Christopher Farah, Cheng Zhong, Michael F. Worboys...
CORR
2010
Springer
102views Education» more  CORR 2010»
15 years 7 months ago
Detecting Weak but Hierarchically-Structured Patterns in Networks
The ability to detect weak distributed activation patterns in networks is critical to several applications, such as identifying the onset of anomalous activity or incipient conges...
Aarti Singh, Robert D. Nowak, A. Robert Calderbank
COMCOM
2007
103views more  COMCOM 2007»
15 years 7 months ago
Using event detection latency to evaluate the coverage of a wireless sensor network
A wireless sensor network (WSN) consists of many tiny and low-power devices deployed in a sensing field. One of the major tasks of a WSN is to monitor the surrounding environment...
You-Chiun Wang, Kai-Yang Cheng, Yu-Chee Tseng
FLAIRS
2007
15 years 9 months ago
Low-Effort Labeling of Network Events for Intrusion Detection in WLANs
A low-effort data mining approach to labeling network event records in a WLAN is proposed. The problem being addressed is often observed in an AI and data mining strategy to netwo...
Taghi M. Khoshgoftaar, Chris Seiffert, Naeem Seliy...