Fusion of filter and wrapper methods using kdd cup data set in intrusion detection
₹1500-12500 INR
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Posted about 8 years ago
₹1500-12500 INR
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Our project aims at using the feature classification techniques to reduce the number of attributes of a dataset. Since, large number of attributes takes ample amount of time to give results and a dataset with reduced features can give same result in lesser time. Basically, we are working on filter and wrapper methods in feature selection in data pre-processing in IDS (Intrusion Detection Systems).
e.g
Filter methods: information gain (entropy), PCA, CFS Subset Evaluator
Wrapper Methods: Neural Network, Genetic Algorithms, Naive Bayes
We need to implement two methods, one from each category (one from filter and one from wrapper methods).
We have already worked on this data set. Its a part of our research work.
We are working on the PhD research in the same domain. Building classifiers
using wrapper and filter methods.