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check_IP is to judge whether a IP is malicious based on open threat intelligence,基于开源威胁情报AlienVault,排查IP地址及域名的恶意性
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) and Android Malware dataset (CICAndMal2017).
This repository contains the code used and developed during a master thesis at DTU Compute in 2018
DAMIT: DDoS Attack Mitigation and IP Traceback
Deep Learning models for network traffic classification
🔴蓝灯最新版本下载 https://github.com/getlantern/download 🔴 Lantern Latest Download https://github.com/getlantern/lantern/releases/tag/latest 🔴
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.
To perform the experiments, CICIDS2017 intrusion detection dataset has been used because it contains benign and the most up-to-date common attacks. However, the project is supposed to work on any publicly available PCAP/TCPDUMP file. Find the CICIDS2017 dataset here:
A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".
:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
This is a simple DNN based application for an IDS based on the CICIDS2017 dataset
Knn implementation without K parameter
Discrete Natural Neighbor Interpolation in 2D/3D
Snort_rules detection bad actors.
Wang Wei's End-to-end encrypted traffic classification with one-dimensional convolution neural networks (scripts and article))
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.