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» Utilizing Neural Networks For Effective Intrusion Detection
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IJCNN
2006
IEEE
14 years 1 months ago
Small-catchment flood forecasting and drainage network extraction using computational intelligence
— Forecast, detection and warning of severe weather and related hydro-geological risks is becoming one of the major issues for civil protection. The use of computational intellig...
Erika Coppola, Barbara Tomassetti, Marco Verdecchi...
SIGMOD
2009
ACM
177views Database» more  SIGMOD 2009»
14 years 7 months ago
ORDEN: outlier region detection and exploration in sensor networks
Sensor networks play a central role in applications that monitor variables in geographic areas such as the traffic volume on roads or the temperature in the environment. A key fea...
Conny Franke, Michael Gertz
VIZSEC
2005
Springer
14 years 1 months ago
IDS RainStorm: Visualizing IDS Alarms
The massive amount of alarm data generated from intrusion detection systems is cumbersome for network system administrators to analyze. Often, important details are overlooked and...
Kulsoom Abdullah, Christopher P. Lee, Gregory J. C...
COMCOM
2006
79views more  COMCOM 2006»
13 years 7 months ago
How many sensors for an acceptable breach detection probability?
Determining the required number of sensors to be deployed is a critical decision for surveillance wireless sensor networks. In this paper, we discuss the trade-off between the num...
Ertan Onur, Cem Ersoy, Hakan Deliç
ICDM
2008
IEEE
179views Data Mining» more  ICDM 2008»
14 years 1 months ago
Detection and Exploration of Outlier Regions in Sensor Data Streams
Sensor networks play an important role in applications concerned with environmental monitoring, disaster management, and policy making. Effective and flexible techniques are need...
Conny Franke, Michael Gertz