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» Utilizing Neural Networks For Effective Intrusion Detection
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IPCV
2008
13 years 9 months ago
Robust Hough-Based Symbol Recognition Using Knowledge-Based Hierarchical Neural Networks
Abstract - A robust method for symbol recognition is presented that utilizes a compact signature based on a modified Hough Transform (HT) and knowledge-based hierarchical neural ne...
Alexander Wong, William Bishop
EC
2000
136views ECommerce» more  EC 2000»
13 years 7 months ago
Architecture for an Artificial Immune System
An artificial immune system (ARTIS) is described which incorporates many properties of natural immune systems, including diversity, distributed computation, error tolerance, dynam...
Steven A. Hofmeyr, Stephanie Forrest
CNIS
2006
13 years 9 months ago
Towards effective packet classification
A variety of network security services, such as access control in firewalls and protocol analysis in intrusion detection systems, require the discrimination of packets based on th...
Yaxuan Qi, Jun Li
ICC
2007
IEEE
137views Communications» more  ICC 2007»
14 years 1 months ago
A Novel Algorithm and Architecture for High Speed Pattern Matching in Resource-Limited Silicon Solution
— Network Intrusion Detection Systems (NIDS) are more and more important for identifying and preventing the malicious attacks over the network. This paper proposes a novel cost-e...
Nen-Fu Huang, Yen-Ming Chu, Chi-Hung Tsai, Chen-Yi...
ICVGIP
2004
13 years 9 months ago
Cursive Word Recognition Using a Novel Feature Extraction Method and a Neural Network
In this paper, we present a holistic system for the recognition of cursive handwriting that utilizes a novel feature extraction method and a neural network. The Hough transform is...
José Ruiz-Pinales, René Jaime-Rivas