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

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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)