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» Intrusion Detection with Neural Networks
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RAID
2010
Springer
13 years 6 months ago
Inferring Protocol State Machine from Real-World Trace
Application-level protocol specifications are helpful for network security management, including intrusion detection, intrusion prevention and detecting malicious code. However, c...
Yipeng Wang, Zhibin Zhang, Li Guo
ACSAC
2006
IEEE
14 years 2 months ago
Backtracking Algorithmic Complexity Attacks against a NIDS
Network Intrusion Detection Systems (NIDS) have become crucial to securing modern networks. To be effective, a NIDS must be able to counter evasion attempts and operate at or near...
Randy Smith, Cristian Estan, Somesh Jha
ICANN
2005
Springer
14 years 1 months ago
Robust Structural Modeling and Outlier Detection with GMDH-Type Polynomial Neural Networks
Abstract. The paper presents a new version of a GMDH type algorithm able to perform an automatic model structure synthesis, robust model parameter estimation and model validation i...
Tatyana I. Aksenova, Vladimir Volkovich, Alessandr...
BMCBI
2005
126views more  BMCBI 2005»
13 years 8 months ago
GANN: Genetic algorithm neural networks for the detection of conserved combinations of features in DNA
Background: The multitude of motif detection algorithms developed to date have largely focused on the detection of patterns in primary sequence. Since sequence-dependent DNA struc...
Robert G. Beiko, Robert L. Charlebois
AVSS
2006
IEEE
14 years 2 months ago
Robust License Plate Detection Using Covariance Descriptor in a Neural Network Framework
We present a license plate detection algorithm that employs ABC This work may not be copied or reproduced in whole or in part for any commercial purpose. Permission to copy in who...
Fatih Porikli, Tekin Kocak