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» Scalable Intrusion Detection with Recurrent Neural Networks
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IPPS
2007
IEEE
14 years 2 months ago
Recurrent neural networks towards detection of SQL attacks
In the paper we present a new approach based on application of neural networks to detect SQL attacks. SQL attacks are those attacks that take advantage of using SQL statements to ...
Jaroslaw Skaruz, Franciszek Seredynski
ESANN
2006
13 years 9 months ago
Evolino for recurrent support vector machines
Abstract. We introduce a new class of recurrent, truly sequential SVM-like devices with internal adaptive states, trained by a novel method called EVOlution of systems with KErnel-...
Jürgen Schmidhuber, Matteo Gagliolo, Daan Wie...
HICSS
2007
IEEE
222views Biometrics» more  HICSS 2007»
14 years 2 months ago
Battery-Sensing Intrusion Protection for Wireless Handheld Computers Using a Dynamic Threshold Calculation Algorithm for Attack
This paper proposes a pioneering Battery-Sensing Intrusion Protection System (B-SIPS) for mobile computers, which alerts on power changes detected on small wireless devices, using...
Timothy Buennemeyer, Faiz Munshi, Randy C. Marchan...
FLAIRS
2004
13 years 9 months ago
Spatiotemporal Novelty Detection Using Resonance Networks
We present a single-layer recurrent neural network that implements novelty detection for spatiotemporal patterns. The architecture is based on the structure of region CA3 in the h...
Benjamin A. Rowland, Anthony S. Maida
ISNN
2005
Springer
14 years 1 months ago
Feature Selection and Intrusion Detection Using Hybrid Flexible Neural Tree
Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything)...
Yuehui Chen, Ajith Abraham, Ju Yang