Experience creating an ANN to solve a intrusion attack problems.

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Last Updated: 05-Sep-23
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Assignment - A neural network model for detecting intrusions or attacks on a computer network

Learning outcome 1: Experience creating an ANN to solve a intrusion attack problems

Learning outcome 2: Experience pre-processing large data sets

Learning outcome 3: Experience using Matlab

Learning outcome 4: Experience using different ANN algorithms implemented in Matlab using the ANN tool box.

Tasks to be undertaken:

The aim of this project is to develop and test a neural network model to be able to detect network intrusions. The neural network model should be capable of distinguishing between ``bad`` connections, called intrusions or attacks, and ``good`` normal connections.

In order to develop this neural network model, you will use the KDD Cup 1999 Data set which was used for The Third International Knowledge Discovery and Data Mining Tools Competition.

The database contains several intrusions simulated in a military network environment.

In order to simplify things, the construction of the neural network model will be based entirely (training and testing) on kddcup.data_10_percent.gz data subset which contains a dataset sample of only 10 % of the entire dataset.