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» Scalable Intrusion Detection with Recurrent Neural Networks
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ICANN
2010
Springer
13 years 5 months ago
Autonomous Generation of Internal Representations for Associative Learning
In this contribution, we explore the possibilities of learning in large-scale, multimodal processing systems operating under real-world conditions. Using an instance of a large-sca...
Michaël Garcia Ortiz, Benjamin Dittes, Jannik...
ICDM
2002
IEEE
188views Data Mining» more  ICDM 2002»
13 years 12 months ago
A Comparative Study of RNN for Outlier Detection in Data Mining
We have proposed replicator neural networks (RNNs) as an outlier detecting algorithm [15]. Here we compare RNN for outlier detection with three other methods using both publicly a...
Graham J. Williams, Rohan A. Baxter, Hongxing He, ...
IPPS
2010
IEEE
13 years 5 months ago
Scalable multi-pipeline architecture for high performance multi-pattern string matching
Multi-pattern string matching remains a major performance bottleneck in network intrusion detection and anti-virus systems for high-speed deep packet inspection (DPI). Although Aho...
Weirong Jiang, Yi-Hua Edward Yang, Viktor K. Prasa...
IPPS
2009
IEEE
14 years 1 months ago
Input-independent, scalable and fast string matching on the Cray XMT
String searching is at the core of many security and network applications like search engines, intrusion detection systems, virus scanners and spam filters. The growing size of o...
Oreste Villa, Daniel G. Chavarría-Miranda, ...
IPPS
2010
IEEE
13 years 5 months ago
Distributed monitoring of conditional entropy for anomaly detection in streams
In this work we consider the problem of monitoring information streams for anomalies in a scalable and efficient manner. We study the problem in the context of network streams wher...
Chrisil Arackaparambil, Sergey Bratus, Joshua Brod...