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» Scalable Intrusion Detection with Recurrent Neural Networks
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JMLR
2002
133views more  JMLR 2002»
13 years 7 months ago
Learning Precise Timing with LSTM Recurrent Networks
The temporal distance between events conveys information essential for numerous sequential tasks such as motor control and rhythm detection. While Hidden Markov Models tend to ign...
Felix A. Gers, Nicol N. Schraudolph, Jürgen S...
HAIS
2008
Springer
13 years 9 months ago
Classification Agent-Based Techniques for Detecting Intrusions in Databases
This paper presents an agent specially designed for the prevention and detection of SQL injection at the database layer of an application. The agent incorporates a Case-based reaso...
Cristian Pinzón, Yanira de Paz, Rosa Cano
ESANN
2000
13 years 9 months ago
A neural network architecture for automatic segmentation of fluorescence micrographs
A system for the automatic segmentation of fluorescence micrographs is presented. In a first step positions of fluorescent cells are detected by a fast learning neural network, whi...
Tim W. Nattkemper, Heiko Wersing, Walter Schubert,...
ICANN
2007
Springer
14 years 2 months ago
Event Detection and Localization in Mobile Robot Navigation Using Reservoir Computing
Abstract. Reservoir Computing (RC) uses a randomly created recurrent neural network where only a linear readout layer is trained. In this work, RC is used for detecting complex eve...
Eric A. Antonelo, Benjamin Schrauwen, Xavier Dutoi...
EUC
2007
Springer
13 years 11 months ago
Parallel Network Intrusion Detection on Reconfigurable Platforms
With the wide adoption of internet into our everyday lives, internet security becomes an important issue. Intrusion detection at the network level is an effective way of stopping m...
Chun Xue, Zili Shao, Meilin Liu, Qingfeng Zhuge, E...