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» Intrusion Detection with Neural Networks
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APNOMS
2008
Springer
13 years 10 months ago
Application of Data Mining to Network Intrusion Detection: Classifier Selection Model
As network attacks have increased in number and severity over the past few years, intrusion detection system (IDS) is increasingly becoming a critical component to secure the netwo...
Huy Anh Nguyen, Deokjai Choi
ACSAC
2001
IEEE
13 years 12 months ago
eXpert-BSM: A Host-Based Intrusion Detection Solution for Sun Solaris
eXpert-BSM is a real time forward-reasoning expert system that analyzes Sun Solaris audit trails. Based on many years of intrusion detection research, eXpert-BSM's knowledge ...
Ulf Lindqvist, Phillip A. Porras
SAC
2004
ACM
14 years 1 months ago
Unsupervised learning techniques for an intrusion detection system
With the continuous evolution of the types of attacks against computer networks, traditional intrusion detection systems, based on pattern matching and static signatures, are incr...
Stefano Zanero, Sergio M. Savaresi
FPGA
2006
ACM
156views FPGA» more  FPGA 2006»
13 years 12 months ago
A reconfigurable architecture for network intrusion detection using principal component analysis
In this paper, we develop an architecture for principal component analysis (PCA) to be used as an outlier detection method for high-speed network intrusion detection systems (NIDS...
David T. Nguyen, Gokhan Memik, Alok N. Choudhary
CCS
2009
ACM
14 years 9 months ago
Intrusion response cost assessment methodology
In this paper we present a structured methodology for evaluating cost of responses based on three factors: the response operational cost associated with the daily maintenance of t...
Chris Strasburg, Natalia Stakhanova, Samik Basu, J...