GitHub - mridul-sachan/OneClassSVM: A one class svm implementation to detect the anomalies in network.

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A one class svm implementation to detect the anomalies in network.

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
.ipynb_checkpoints		.ipynb_checkpoints
DataSet.PNG		DataSet.PNG
Data_vis_chart.py		Data_vis_chart.py
New Text Document.csv		New Text Document.csv
Output.PNG		Output.PNG
Readme.txt		Readme.txt
Test_file.csv		Test_file.csv
Test_file_without_class.csv		Test_file_without_class.csv
UseModel_2.py		UseModel_2.py
UsingModel.py		UsingModel.py
dataset_features.txt		dataset_features.txt
json_model.py		json_model.py
kddcup.data.gz		kddcup.data.gz
kddcup.data_10_percent.gz		kddcup.data_10_percent.gz
kddcup.newtestdata_10_percent_unlabeled.gz		kddcup.newtestdata_10_percent_unlabeled.gz
kddcup_data_10_percent_corrected.csv		kddcup_data_10_percent_corrected.csv
kddcup_newtestdata_10_percent_unlabeled.csv		kddcup_newtestdata_10_percent_unlabeled.csv
one_class_svm.model		one_class_svm.model
one_class_svm_2.model		one_class_svm_2.model
oneclass_svm_final.py		oneclass_svm_final.py
oneclasssvm.model		oneclasssvm.model
oneclasssvm_1.py		oneclasssvm_1.py
oneclasssvm_savemodel.py		oneclasssvm_savemodel.py
predicted.txt		predicted.txt

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Requirements : 
Python3

Libraries :
pandas
Numpy
sklearn


Steps :- 
1. Downloaded the dataset of KDD Cup 1999 Data Data Set from UCI Machine Learning Repository.
http://archive.ics.uci.edu/ml/datasets/kdd+cup+1999+data
(This is the data set used for The Third International Knowledge Discovery and Data Mining Tools Competition, which was held in conjunction with KDD-99 With Application to Fraud and Intrusion Detection.)

2. Included the header info in the dataset.

3. Set the path of dataset in oneclasssvm_1.py file.

4. Run oneclasssvm_1.py


Project screenshots are attached in Zip file with code.

- by 
Mridul Sachan
(M.Tech IT - 2nd yr)