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CIA
2008
Springer
13 years 8 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...
FPGA
2004
ACM
163views FPGA» more  FPGA 2004»
13 years 10 months ago
Time and area efficient pattern matching on FPGAs
Pattern matching for network security and intrusion detection demands exceptionally high performance. Much work has been done in this field, and yet there is still significant roo...
Zachary K. Baker, Viktor K. Prasanna
RAS
2007
113views more  RAS 2007»
13 years 6 months ago
Visual novelty detection with automatic scale selection
This paper presents experiments with an autonomous inspection robot, whose task was to highlight novel features in its environment from camera images. The experiments used two dif...
Hugo Vieira Neto, Ulrich Nehmzow
GECCO
2008
Springer
206views Optimization» more  GECCO 2008»
13 years 7 months ago
Improving accuracy of immune-inspired malware detectors by using intelligent features
In this paper, we show that a Bio-inspired classifier’s accuracy can be dramatically improved if it operates on intelligent features. We propose a novel set of intelligent feat...
M. Zubair Shafiq, Syed Ali Khayam, Muddassar Faroo...
PKDD
2009
Springer
113views Data Mining» more  PKDD 2009»
14 years 1 months ago
Feature Selection for Density Level-Sets
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an e...
Marius Kloft, Shinichi Nakajima, Ulf Brefeld