Sciweavers

329 search results - page 8 / 66
» Utilizing Neural Networks For Effective Intrusion Detection
Sort
View
IJCNN
2006
IEEE
14 years 1 months ago
Effective Training Methods for Function Localization Neural Networks
— Inspired by Hebb’s cell assembly theory about how the brain worked, we have developed a function localization neural network (FLNN). The main part of a FLNN is structurally t...
Takafumi Sasakawa, Jinglu Hu, Katsunori Isono, Kot...
NOMS
2010
IEEE
222views Communications» more  NOMS 2010»
13 years 5 months ago
Bayesian decision aggregation in collaborative intrusion detection networks
—Cooperation between intrusion detection systems (IDSs) allows collective information and experience from a network of IDSs to be shared to improve the accuracy of detection. A c...
Carol J. Fung, Quanyan Zhu, Raouf Boutaba, Tamer B...
ICONIP
2004
13 years 8 months ago
Hybrid Feature Selection for Modeling Intrusion Detection Systems
Most of the 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 (...
Srilatha Chebrolu, Ajith Abraham, Johnson P. Thoma...
AIA
2007
13 years 9 months ago
Optimizing number of hidden neurons in neural networks
In this paper, a novel and effective criterion based on the estimation of the signal-to-noise-ratio figure (SNRF) is proposed to optimize the number of hidden neurons in neural ne...
Yue Liu, Janusz A. Starzyk, Zhen Zhu
HAIS
2008
Springer
13 years 8 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