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» Intrusion Detection with Neural Networks
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COMSWARE
2007
IEEE
14 years 2 months ago
Competition between SOM Clusters to Model User Authentication System in Computer Networks
—Traditional authentication systems employed on Internet are facing an acute problem of intrusions. In this context we propose a neural architecture for user authentication throu...
Shrijit S. Joshi, Vir V. Phoha
IPSN
2010
Springer
14 years 2 months ago
A system for distributed event detection in wireless sensor networks
Event detection is a major issue for applications of wireless sensor networks. In order to detect an event, a sensor network has to identify which application-specific incident h...
Georg Wittenburg, Norman Dziengel, Christian Warte...
BMCBI
2010
118views more  BMCBI 2010»
13 years 8 months ago
Artificial neural networks for the prediction of peptide drift time in ion mobility mass spectrometry
Background: There is an increasing usage of ion mobility-mass spectrometry (IMMS) in proteomics. IMMS combines the features of ion mobility spectrometry (IMS) and mass spectrometr...
Bing Wang, Steve Valentine, Manolo Plasencia, Srir...
BMCBI
2005
198views more  BMCBI 2005»
13 years 8 months ago
Clustering protein sequences with a novel metric transformed from sequence similarity scores and sequence alignments with neural
Background: The sequencing of the human genome has enabled us to access a comprehensive list of genes (both experimental and predicted) for further analysis. While a majority of t...
Qicheng Ma, Gung-Wei Chirn, Richard Cai, Joseph D....
CCS
2006
ACM
13 years 11 months ago
Evading network anomaly detection systems: formal reasoning and practical techniques
Attackers often try to evade an intrusion detection system (IDS) when launching their attacks. There have been several published studies in evasion attacks, some with available to...
Prahlad Fogla, Wenke Lee