mudgalabhay/intrusion-detection-system

IDS monitors a network or systems for malicious activity and protects a computer network from unauthorized access from users,including perhaps insider.

Intrusion-Detection-System

IDS monitors a network or systems for malicious activity and protects a computer network from unauthorized access from users,including perhaps insider. The motive of this study is to propose a predictive model (i.e. a classifier) capable of distinguishing between 'bad connections' (intrusions/attacks) and a 'good (normal) connections' after applying some feature extraction on KDD Cup 1999 dataset by DARPA.

DATASET

KDD Cup 1999 dataset by DARPA The whole dataset can be downloaded from- http://kdd.ics.uci.edu/databases/kddcup99/kddcup99.html

MODELS

A total of seven models is trained and tested. The performance of all the algorithms is examined based on accuracy and computational time. Derived results show that Decision Tree outperforms the best on measures like Accuracy and Computational Time.

ALGORITHMS USED

Gaussian Naive Bayes, Decision Tree, Random Forest, SVM, Logistic Regression,Gradient Boosting, ANN

ARTICLE

https://www.geeksforgeeks.org/intrusion-detection-system-using-machine-learning-algorithms/

intrusion-detection-system's Issues

Permission to use Code for Bachelorthesis?

Hello @mudgalabhay ,
i am currently writing my Bachelorthesis about Intrusion Detection implement with Machine learning Algorithms. Could I have your permission to use this code? I would also indirectly quote this code.

Kind regards.