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» Utilizing Neural Networks For Effective Intrusion Detection
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CIA
2008
Springer
13 years 9 months ago
Trust-Based Classifier Combination for Network Anomaly Detection
Abstract. We present a method that improves the results of network intrusion detection by integration of several anomaly detection algorithms through trust and reputation models. O...
Martin Rehák, Michal Pechoucek, Martin Gril...
ACSAC
2009
IEEE
14 years 2 months ago
An Empirical Approach to Modeling Uncertainty in Intrusion Analysis
: © An Empirical Approach to Modeling Uncertainty in Intrusion Analysis Xinming Ou, Siva Raj Rajagopalan, Sakthiyuvaraja Sakthivelmurugan HP Laboratories HPL-2009-334 intrusion de...
Xinming Ou, Siva Raj Rajagopalan, Sakthiyuvaraja S...
FCCM
2004
IEEE
141views VLSI» more  FCCM 2004»
13 years 11 months ago
Deep Packet Filter with Dedicated Logic and Read Only Memories
Searching for multiple string patterns in a stream of data is a computationally expensive task. The speed of the search pattern module determines the overall performance of deep p...
Young H. Cho, William H. Mangione-Smith
BMCBI
2006
109views more  BMCBI 2006»
13 years 7 months ago
GPNN: Power studies and applications of a neural network method for detecting gene-gene interactions in studies of human disease
Background: The identification and characterization of genes that influence the risk of common, complex multifactorial disease primarily through interactions with other genes and ...
Alison A. Motsinger, Stephen L. Lee, George Mellic...
ICDCS
2003
IEEE
14 years 25 days ago
Cross-Feature Analysis for Detecting Ad-Hoc Routing Anomalies
With the proliferation of wireless devices, mobile ad hoc networking (MANET) has become a very exciting and important technology due to its characteristics of open medium and dyna...
Yi-an Huang, Wei Fan, Wenke Lee, Philip S. Yu