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Name: Welin
Type: User
Name: Welin
Type: User
Intrusion Detection System using Machine Learning and Deep Learning
Anomaly detection related books, papers, videos, and toolboxes
This clustering based anomaly detection project implements unsupervised clustering algorithms on the NSL-KDD and IDS 2017 datasets
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
Pytorch implementation of DeepLog.
This is the realization of core DeepLog
Web path scanner
Generative Adversarial Networks implemented in PyTorch and Tensorflow
A high performance implementation of HDBSCAN clustering.
Intrusion detection system using CNN and RNN
Iterative JSON parser with Pythonic interface
Notebooks and code for the book "Introduction to Machine Learning with Python"
Unsupervised Learning Intrusion Detection System
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.
This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the study will be available shortly.
log anomaly detection toolkit including DeepLog
A log analysis toolkit for automated anomaly detection [ISSRE'16]
A toolkit for automated log parsing [ICSE'19, TDSC'18, DSN'16]
Minimal, clean example of lstm neural network training in python, for learning purposes.
Applied generative adversarial networks (GANs) to do anomaly detection for time series data
mall项目是一套电商系统,包括前台商城系统及后台管理系统,基于SpringBoot+MyBatis实现,采用Docker容器化部署。 前台商城系统包含首页门户、商品推荐、商品搜索、商品展示、购物车、订单流程、会员中心、客户服务、帮助中心等模块。 后台管理系统包含商品管理、订单管理、会员管理、促销管理、运营管理、内容管理、统计报表、财务管理、权限管理、设置等模块。
Pytorch code for Arxiv Paper: Learning to learn: Meta-Critic Networks for Sample-Efficient Learning
Machine Learning with the NSL-KDD dataset for Network Intrusion Detection
Network intrusions classification using algorithms such as Support Vector Machine (SVM), Decision Tree, Naive Baye, K-Nearest Neighbor (KNN), Logistic Regression and Random Forest.
Network Intrusion Detection System Using Stacked Non Symmetric Autoencoder and Random Forest
NSL-KDD Dataset
KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network
OneForAll是一款功能强大的子域收集工具
Implementation of PLELog in ICSE 2021 accepted paper:Semi-supervised Log-based Anomaly Detection via Probabilistic Label Estimation.
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.