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» Intrusion Detection with Neural Networks
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CCS
2008
ACM
13 years 10 months ago
Principled reasoning and practical applications of alert fusion in intrusion detection systems
It is generally believed that by combining several diverse intrusion detectors (i.e., forming an IDS ensemble), we may achieve better performance. However, there has been very lit...
Guofei Gu, Alvaro A. Cárdenas, Wenke Lee
SEC
1996
13 years 9 months ago
Intention modelling: approximating computer user intentions for detection and prediction of intrusions
This paper introduces and describes an innovative modelling approach which utilises models that are synthesised through approximate calculations of user actions and extensive repr...
Thomas Spyrou, John Darzentas
NSPW
2003
ACM
14 years 1 months ago
Locality: a new paradigm for thinking about normal behavior and outsider threat
Locality as a unifying concept for understanding the normal behavior of benign users of computer systems is suggested as a unifying paradigm that will support the detection of mal...
John McHugh, Carrie Gates
ATAL
2009
Springer
14 years 26 days ago
Dynamic information source selection for intrusion detection systems
Our work presents a mechanism designed for the selection of the optimal information provider in a multi-agent, heterogeneous and unsupervised monitoring system. The selfadaptation...
Martin Rehák, Eugen Staab, Michal Pechoucek...
FPL
2006
Springer
120views Hardware» more  FPL 2006»
13 years 12 months ago
Regular Expression Software Deceleration for Intrusion Detection Systems
The use of reconfigurable hardware for network security applications has recently made great strides as FPGA devices have provided larger and faster resources. Regular expressions...
Zachary K. Baker, Viktor K. Prasanna, Hong-Jip Jun...