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cicflowmeter

CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) is a network traffic Bi-flow generator and analyzer for anomaly detection that has been used in many Cybersecurity datsets such as Android Adware-General Malware dataset (CICAAGM2017), IPS/IDS dataset (CICIDS2017), Android Malware dataset (CICAndMal2017) and Distributed Denial of Service (CICDDoS2019).

cpython

The Python programming language

cryptographypython

Multiple scripts for CryptoOps with Python, Java, Node.js

dnn-and-preprocessing-cicids-2017

DNN and preprocessing cicids 2017

forense-luis-bertel

forense

intrusion-detection-big-data

intrusion-detection-system

Intrusion detection system using machine learning. Using dataset CICIDS2017

intrusion-detection-system-1

I have tried some of the machine learning and deep learning algorithm for IDS 2017 dataset. The link for the dataset is here: http://www.unb.ca/cic/datasets/ids-2017.html. By keeping Monday as the training set and rest of the csv files as testing set, I tried one class SVM and deep CNN model to check how it works. Here the Monday dataset contains only normal data and rest of the days contains both normal and attacked data. Also, from the same university (UNB) for the Tor and Non Tor dataset, I tried K-means clustering and Stacked LSTM models in order to check the classification of multiple labels.

ml-ids

A machine learning based Intrusion Detection System

net_intrusion_detection

Network intrusion detection with Machine Learning (Deep Learning) experiment

network-intrusion-detection---using-scikit-learn-and-convolutional-neural-networks-

A network intrusion detector - a predictive model capable of distinguishing between bad connections, called intrusions or attacks, and good normal connections using Scikit-learn and Convolutional Neural Networks.

redes-neuronales-tesis

thezooramson

A repository of LIVE malwares for your own joy and pleasure. theZoo is a project created to make the possibility of malware analysis open and available to the public.