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» Scalable Intrusion Detection with Recurrent Neural Networks
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CF
2005
ACM
13 years 9 months ago
SPANIDS: a scalable network intrusion detection loadbalancer
Network intrusion detection systems (NIDS) are becoming an increasingly important security measure. With rapidly increasing network speeds, the capacity of the NIDS sensor can lim...
Lambert Schaelicke, Kyle Wheeler, Curt Freeland
ICDCS
2006
IEEE
14 years 1 months ago
A DoS Resilient Flow-level Intrusion Detection Approach for High-speed Networks
Global-scale attacks like viruses and worms are increasing in frequency, severity and sophistication, making it critical to detect outbursts at routers/gateways instead of end hos...
Yan Gao, Zhichun Li, Yan Chen
SOFTCOMP
2010
13 years 6 months ago
Approaching Real-Time Intrusion Detection through MOVICAB-IDS
Abstract This paper presents an extension of MOVICAB-IDS, a Hybrid Intelligent Intrusion Detection System characterized by incorporating temporal control to enable real-time proces...
Martí Navarro, Álvaro Herrero, Emili...
ICANN
2007
Springer
14 years 2 months ago
An Application of Recurrent Neural Networks to Discriminative Keyword Spotting
Abstract. Keyword spotting is a detection task consisting in discovering the presence of specific spoken words in unconstrained speech. The majority of keyword spotting systems ar...
Santiago Fernández, Alex Graves, Jürge...
CIBCB
2005
IEEE
14 years 1 months ago
Artificial Neural Network Analysis of DNA Microarray-based Prostate Cancer Recurrence
— DNA microarray-based gene expression profiles have been established for a variety of adult cancers. This paper addresses application of an artificial neural network (ANN) wit...
Leif E. Peterson, Mustafa Ozen, Halime Erdem, Andr...