Decision Tree Classifier For Network Intrusion Detection With GA-Based Feature Selection
White Papers Machine Learning techniques such as Genetic Algorithms and Decision Trees have been applied to the field of intrusion detection for more than a decade. This paper use a genetic algorithm to select a subset of input features for decision tree...
[July 11, 2008, 1:20]
A Software Fault Tree Approach To Requirements Analysis Of An Intrusion Detection System
White Papers The use of software fault trees for requirements identification and analysis in an Intrusion Detection System (IDS) is described. Analysis of the software fault trees and the minimum cut sets identify the software requirements.
[July 11, 2008, 1:20]
Soft Computing Models For Network Intrusion Detection Systems
White Papers Among the several soft computing paradigms, it investigated fuzzy rule-based classifiers, decision trees, support vector machines, linear genetic programming and an ensemble method to model fast and efficient intrusion detection systems.
[July 11, 2008, 1:20]
SNORTRAN: An Optimizing Compiler For Snort Rules
White Papers SNORTRAN combines several compilation techniques, including cost-optimized decision trees, pattern matching precompilation, and string set clustering. This paper developed an optimizing compiler for intrusion detection rules popularized by an open...
[June 3, 2008, 6:03]
Soft Computing Models For Network Intrusion Detection Systems
White Papers Among the several soft computing paradigms, the paper investigated fuzzy rule-based classifiers, decision trees, support vector machines, linear genetic programming and an ensemble method to model fast and efficient intrusion detection systems.
[July 11, 2008, 1:20]
