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» Intrusion Detection with Neural Networks
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SACMAT
2003
ACM
14 years 1 months ago
Dynamic and risk-aware network access management
Traditional network security technologies such as firewalls and intrusion detection systems usually work according to a static ruleset only. We believe that a better approach to ...
Lawrence Teo, Gail-Joon Ahn, Yuliang Zheng
BMCBI
2005
122views more  BMCBI 2005»
13 years 8 months ago
A neural strategy for the inference of SH3 domain-peptide interaction specificity
Background: The SH3 domain family is one of the most representative and widely studied cases of so-called Peptide Recognition Modules (PRM). The polyproline II motif PxxP that gen...
Enrico Ferraro, Allegra Via, Gabriele Ausiello, Ma...
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...
HOTOS
2009
IEEE
13 years 12 months ago
An End to the Middle
The last fifteen years has seen a vast proliferation of middleboxes to solve all manner of persistent limitations in the Internet protocol suite. Examples include firewalls, NATs,...
Colin Dixon, Arvind Krishnamurthy, Thomas E. Ander...
FPL
2005
Springer
119views Hardware» more  FPL 2005»
14 years 1 months ago
Real-Time Feature Extraction for High Speed Networks
With the onset of Gigabit networks, current generation networking components will soon be insufficient for numerous reasons: most notably because existing methods cannot support h...
David Nguyen, Gokhan Memik, Seda Ogrenci Memik, Al...