A beginner's guide to carry out extreme value analysis, which consists of basic steps, multiple distribution fitting, confidential intervals, IDF/DDF, and a simple application of IDF information fo…

Open Set Recognition

A Practitioner's Guide to the Performance of Deep-Learning Based Open Set Recognition Algorithms for Network Intrusion Detection Systems

Analysis of Network Intrusion Detection

A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

An Intrusion Detection System created using Artificial Neural Network capable of determining between a good connection to the system and an intrusion attempt. Platform used: Google Colaboratory wit…

This repo hosts notebooks, cleaned data files to create an intrusion detection system using Deep learining.

This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the study will be available shortly.

Application of novel EC-GAN method on Network Intrusion Detection

Code for the paper "Improved Techniques for Training GANs"

MIT Introduction to Deep Learning (6.S191) Instructors: Alexander Amini and Ava Soleimany Course Information Summary Prerequisites Schedule Lectures Labs, Final Projects, Grading, and Prizes Softwa…

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Tensorflow implementation of OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations

An Anomaly Based Network Intrusion Detection System (A-NIDS) that uses Unsupervised Learning.

Unsupervised Learning Intrusion Detection System

PySpark solution to the NSL-KDD dataset: https://www.unb.ca/cic/datasets/nsl.html

Generate synthetic network attack packet flows using generative adversarial networks.

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

Train a multi-label image classifier with macro soft-F1 loss in TensorFlow 2.0

Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris

The proposed hybrid IDS is tested on two public network datasets, the CSE-CIC-IDS2018 and the TON IoT datasets, representing internal and external network traffic data. Various measures, such as ac…

A tensorflow implementation for "An Improved Transfer learning Approach for Intrusion Detection"

Python script for differentiating attack traffic from normal traffic in a network

This repository contains my third year dissertation. My dissertation focused in evaluating and creating a DNN for a Network Intrusion Detection System (NIDS).

This is the implementation of the thesis for the Computer Science Master from the Technical University of Denmark (DTU).

Collection of generative models in Pytorch version.