Project developed during Network Security class at Federal University of Rio de Janeiro on spring 2017

An introductory course to pandas and scikit learn

Project for Kernel-Based Machine Learning and Multivariate Modelling course at UPC Barcelona (FIB)

Intrusion Detection (KDD Cup 1999 Dataset) using Perceptron and Random Forest. UniFi AI final exam.

A predictive model capable of distinguishing between bad connections and good connections using machine learning.

Anomaly detection using machine learning

Unsupervised (Clustering) Anomaly detection on Network Traffic Activity using a dataset from the annual KDD Cup competition

Anomaly detection by kmeans clustering applied on network traffic log files to train a model to detect fraudulant network behaviour

INTRUSION DETECTOR | ML

Intrusion detection using machine learning for KDD 99 dataset

Artificial Intelligence and Cybersecurity

Network Anomaly Detection Using Deep Neural Network

A Tensorflow model to detect network intrusions in the KDD Cup 1999 data-set.

Creating an Intrusion Detection System

Work with NSL-KDD to reach best accuracy

ISSS610 Applied Machine Learning

This is the strong baseline in final competition (KDD1999) of NTU Machine Learning 2016 Fall lectured by Hung-Yi Lee

Demo of SciKit ML algorithms using the kdd99 dataset

Assess various ML algorithms on KDD99 network dataset then apply the best algorithm (Random Forest) using R.