Alternatives and similar repositories for DDoS-DeepLearning-Approach

Users that are interested in DDoS-DeepLearning-Approach are comparing it to the libraries listed below

• WithHades / network_traffic_classification_paper
  收集了部分将机器学习应用于网络流量分类的论文
  ☆171Updated 5 years ago
• jiangph1001 / flow-feature
  多进程读取pcap，基于五元组分流并提取流量特征。结果输出为csv文件，用于机器学习中对加密流量进行分类
  ☆92Updated 3 years ago
• davidyslu / USTC-TFC2016
  Traffic dataset USTC-TFC2016
  ☆149Updated 6 years ago
• davidyslu / USTC-TK2016
  Toolkit for processing PCAP file and transform into image of MNIST dataset
  ☆246Updated last year
• Mr-Pepe / iscx-analysis
  Analysis of the ISCX VPN-nonVPN Dataset 2016 for Encrypted Network Traffic Classification
  ☆92Updated last year
• xgr19 / SAM-for-Traffic-Classification
  Self-attentive deep learning method for online traffic classification and its interpretability (CN21 & NetAI20)
  ☆39Updated last year
• munhouiani / Deep-Packet
  Pytorch implementation of deep packet: a novel approach for encrypted traffic classification using deep learning
  ☆240Updated 2 years ago
• fuchuanpu / Whisper
  Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis
  ☆131Updated 2 years ago
• demonCoder95 / ML-based-IDS-CICIDS2017
  This is a simple DNN based application for an IDS based on the CICIDS2017 dataset
  ☆35Updated 5 years ago
• jmhIcoding / flowcontainer
  从pcap获取流的基本信息工具
  ☆225Updated 2 years ago
• Bil369 / IDS2018-DDoS-Traffic-Classify
  基于IDS 2018数据集使用LightGBM和XGBoost实现DDoS流量分类 sFlow RT&Mininet流量采集与分类 杭电综合项目实践
  ☆30Updated 4 years ago
• zhmhbest / python-nidsdata
  这是一个封装了KDDCup99、NSL-KDD、UNSW-NB15等入侵监测数据集的Python包。
  ☆50Updated 5 years ago
• elifnurkarakoc / CICIDS2017
  CICIDS2017 dataset
  ☆70Updated 3 years ago
• qa276390 / Encrypted_Traffic_Classification
  using deep learning to classify the encrypted network traffic
  ☆168Updated 4 years ago
• vanlalruata / DCNNBiLSTM-An-Efficient-Hybrid-Deep-Learning-Based-Intrusion-Detection-System
  Journal Article: Telematics and Informatics Reports
  ☆11Updated 2 years ago
• doriguzzi / lucid-ddos
  A Practical, Lightweight Deep Learning Solution for DDoS Attack Detection
  ☆145Updated last year
• santhisenan / DeepDefense
  DDoS attack detection using BLSTM based RNN
  ☆77Updated 5 years ago
• light6607 / ryu_controller
  ryu_controller_for DDos
  ☆29Updated last year
• Jacobvs / DDOS-ML-Detection
  Detects DDOS attacks using ML
  ☆48Updated 5 years ago
• shrezaei / Semi-supervised-Learning-QUIC-
  Implementation of "How to Achieve High Classification Accuracy with Just a Few Labels: A Semi-supervised Approach Using Sampled Packets"
  ☆34Updated 6 years ago
• Jumabek / net_intrusion_detection
  Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution
  ☆50Updated last year
• dendyikbc / kdd99-cnn-1
  Intrusion Detection Based on Convolutional Neural Network with kdd99 data set
  ☆56Updated 6 years ago
• ymirsky / Kitsune-py
  A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)
  ☆357Updated last year
• JamesQuintero / DDoS-Attack-Detection
  Uses Machine Learning to detect live DDoS attacks
  ☆68Updated 4 years ago
• chenxu93 / abnormal-traffic
  IDS abnormal traffic detection tensorflow
  ☆45Updated 6 years ago
• Akrusher / Fs-net
  FS-Net: A Flow Sequence Network For Encrypted Traffic Classification
  ☆47Updated 5 years ago
• pritom007 / Network-Traffic-Classification
  ☆39Updated 3 years ago
• cxmirene / KDDCUP99-Detection
  使用贝叶斯、神经网络、KNN进行入侵检测（KDD-CUP99）
  ☆82Updated 5 years ago
• krzysiekniburski / Network-Traffic-Classification
  The use of machine learning to classify network traffic
  ☆41Updated 5 years ago
• dmbb / FlowLens
  Code for the paper "FlowLens: Enabling Efficient Flow Classification for ML-based Network Security Applications" [NDSS '21]
  ☆36Updated 4 years ago