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» Intrusion Detection with Neural Networks
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ACSAC
2009
IEEE
14 years 3 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...
ICONIP
2004
13 years 9 months ago
Collaborative Agent Learning Using Neurocomputing
In this paper we investigate techniques to train an agent to accomplish certain tasks. Artificial Neural Networks will be the technique used to the train the agent. This paper will...
Saulat Farooque, Ajith Abraham, Lakhmi C. Jain
DFN
2009
13 years 9 months ago
Interactive Analysis of NetFlows for Misuse Detection in Large IP Networks
: While more and more applications require higher network bandwidth, there is also a tendency that large portions of this bandwidth are misused for dubious purposes, such as unauth...
Florian Mansmann, Fabian Fischer, Daniel A. Keim, ...
IAJIT
2010
102views more  IAJIT 2010»
13 years 6 months ago
Multilayer neural network-burg combination for acoustical detection of buried objects
: A Burg technique is employed to model the long wavelength localization and imaging problem. A Burg method is used as a high resolution and stable technique. The idea of in-line h...
Mujahid Al-Azzo, Lubna Badri
NDSS
2005
IEEE
14 years 1 months ago
Enriching Intrusion Alerts Through Multi-Host Causality
Current intrusion detection systems point out suspicious states or events but do not show how the suspicious state or events relate to other states or events in the system. We sho...
Samuel T. King, Zhuoqing Morley Mao, Dominic G. Lu...