ixiaozhuai

ixiaozhuai's Stars

• macrozheng/mall-learning

  mall学习教程，架构、业务、技术要点全方位解析。mall项目（60k+star）是一套电商系统，使用现阶段主流技术实现。涵盖了SpringBoot、MyBatis、Elasticsearch、RabbitMQ、Redis、MongoDB、MySQL等技术，采用Docker容器化部署。

  Language:Java12.9k340898.3k

• vinayakumarr/Network-Intrusion-Detection

  Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15

  Language:Python6651621237

• yungshenglu/USTC-TK2016

  Toolkit for processing PCAP file and transform into image of MNIST dataset

  Language:Python20631962

• jmhIcoding/traffic_classification_utils

  网络流量分类对比方法汇总

  Language:Python1411326

• abhinav-bhardwaj/IoT-Network-Intrusion-Detection-System-UNSW-NB15

  Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset

  Language:Jupyter Notebook1362136

• jayxsinha/Efficient-CNN-BiLSTM-for-Network-IDS

  Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS

  Language:Jupyter Notebook941816

• 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

  Language:Python732215

• shramos/pcap-splitter

  Pcap-splitter allows you to split a pcap file into subsets of pcap files based on sessions, flows, ip addresses, number of bytes, number of network packets...

  Language:Python632111

• vnetman/pcap2csv

  Use PyShark and scapy to read fields from a pcap file and populate a CSV

  Language:Python555423

• jingconan/pcap-converter

  Pcap Converter: convert pcap to text or flows.

  Language:Python493119

• orion-orion/AIFlow

  🎈 2020年**高校计算机大赛(C4)－网络技术挑战赛EP2决赛赛项：基于CNN+LSTM时空神经网络的在线流量分类模型。

  Language:Python42207

• VamsiUdaykumar/IoT-Intrusion-Detection-System

  Two staged IDS specific to IoT networks where Signature based IDS and Anomaly based IDS which is trained and classified using machine learning in this case CNN-LSTM is used together in component based architecture.

  Language:Python36217

• wmn7/Traffic-Classification

  Code for Intrusion Detection Systems and Encrypted Traffic Classification [No Further Updates]

  Language:Jupyter Notebook323812

• BeStrongok/Malicious-Traffic-Classification

  Use deep learning to classify the malicious traffic, and use TensorFlow2.0 to carry out it.

  Language:Jupyter Notebook31155

• MMH1997/CNN-BiLSTM-network

  CNN-Bidirectional LSTM network to forecast long term traffic flow in Madrid.

  Language:HTML22203

• joejoe233/TrafficClassification

  using 2d-cnn to classify network traffic

  Language:Python20145

• nisha077/SDN-traffic-classification

  Software Defined Network traffic classification

  Language:Jupyter Notebook19225

• WaseemUllah655/Anomaly-Detection

  Anomaly detection using CNN-LSTM

  Language:Python14203

• abhi-jith23/Intrusion-Detection-System-using-DL

  An intrusion detection system model developed using CNN and Bi-LSTM.

  Language:Jupyter Notebook12202

• Asraf047/COVID19-CNN-LSTM

  A combined deep CNN-LSTM network for the detection of novel coronavirus (COVID-19) using X-ray images

  Language:Python9202

• saha0073/Network-IP-Traffic-Classification-with-ML-Technique

  Network IP Traffic Classification with Machine Learning.

  Language:Python8100

• cmz0714/TS_DDoS_CNN_LSTM

  Language:Python7102

• manishkr03/Anomaly-detection-Kmeans-autoencoder_ANN-CNN-LSTM

  Anomaly-detection-Kmeans-autoencoder_ANN-CNN-LSTM

  Language:Python6

• shareeff/A3C_CNN_LSTM

  This is a tensorflow implementation of Asynchronous advantage actor-critic algorithm for CNN-LSTM as function approximator

  Language:Python5403

• haoqinx/networkOdSystem

  Detection system for abnormal network traffic in different application categories. Use custom nfstream, nDPI, Redis, Elasticsearch, logstash, Kibana, pyod and other technologies.

  Language:C4102

• samadDotDev/Simple-CNN-LSTM

  A simple boilerplate template for Keras (Tensor Flow Backend) for raw sequence of random numbers (sequence optionally preserved by a seed). All Graphics stuff including progress bars for training and different plots for data, target and prediction are included.

  Language:Jupyter Notebook4000

• devintobagus/Traffic-Flow-Prediction-CNN2D-LSTM-

  Language:Jupyter Notebook221

• hemlathapandey3/Predicting_Network_Traffic

  Classification of Network Traffic

  Language:Jupyter Notebook2200

• ixiaozhuai/networkOdSystem

  Detection system for abnormal network traffic in different application categories. Use custom nfstream, nDPI, Redis, Elasticsearch, logstash, Kibana, pyod and other technologies.

  Language:C1000

• psotoarenas/pcap_data

  pcaps for traffic classification

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