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ICNS
2007
IEEE
14 years 2 months ago
Data fusion algorithms for network anomaly detection: classification and evaluation
In this paper, the problem of discovering anomalies in a large-scale network based on the data fusion of heterogeneous monitors is considered. We present a classification of anoma...
Vasilis Chatzigiannakis, Georgios Androulidakis, K...
JUCS
2010
108views more  JUCS 2010»
13 years 6 months ago
Integrating Social Networks for Context Fusion in Mobile Service Platforms
: It is important for mobile service providers to be aware of user contexts and to provide contextually relevant mobile services to users. Thereby, in this paper, we propose a nove...
Jason J. Jung
BSN
2006
IEEE
112views Sensor Networks» more  BSN 2006»
14 years 1 months ago
Source Recovery for Body Sensor Network
To accurately capture clinically relevant episodes with Body Sensor Networks (BSNs), multi-sensor fusion is essential for extracting intrinsic physiological and contextual informa...
Benny P. L. Lo, Fani Deligianni, Guang-Zhong Yang
ESANN
2003
13 years 9 months ago
Ensemble of hybrid networks with strong regularization
Abstract. We study various ensemble methods for hybrid neural networks. The hybrid networks are composed of radial and projection units and are trained using a deterministic algori...
Shimon Cohen, Nathan Intrator
CCS
2008
ACM
13 years 9 months ago
Principled reasoning and practical applications of alert fusion in intrusion detection systems
It is generally believed that by combining several diverse intrusion detectors (i.e., forming an IDS ensemble), we may achieve better performance. However, there has been very lit...
Guofei Gu, Alvaro A. Cárdenas, Wenke Lee