Alternatives and similar repositories for abnormal-traffic:

Users that are interested in abnormal-traffic are comparing it to the libraries listed below

• dendyikbc / kdd99-cnn-1
  Intrusion Detection Based on Convolutional Neural Network with kdd99 data set
  ☆53Updated 5 years ago
• sgamage2 / dl_ids_survey
  Deep learning models for network intrusion detection
  ☆35Updated 2 years ago
• bobolike123 / NetworkTrafficAnalysis
  论文:A Deep Hierarchical Network for Packet-Level Malicious Traffic Detection的源代码
  ☆26Updated 3 years ago
• jayxsinha / Efficient-CNN-BiLSTM-for-Network-IDS
  Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS
  ☆108Updated 2 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。
  ☆46Updated 4 years ago
• ZhangJiTaoA / An-Intrusion-Detection-Model-with-Transformer-BiLSTM
  ☆41Updated 2 years ago
• perriDplatypus / Anomaly-Detection-KDD99-CNNLSTM
  Intrusion Detection System using Machine Learning and Deep Learning
  ☆86Updated last year
• elifnurkarakoc / CICIDS2017
  CICIDS2017 dataset
  ☆69Updated 3 years ago
• xyyx62 / GAN-IDS
  Distributed intelligent malicious traffic detection system based on GAN
  ☆18Updated 5 years ago
• zhang-hongpo / SGM-CNN
  Our implementations of the flow-based network intrusion detection model (for the COMNET paper)
  ☆47Updated 4 years ago
• ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks
  ☆43Updated 4 years ago
• FlamingJay / Time-related-Intrusion-Detection-Model-based-on-Recurrent-Neural-Network
  Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.
  ☆68Updated 4 years ago
• othmbela / dbn-based-nids
  An Intrusion Detection System based on Deep Belief Networks
  ☆83Updated 2 years ago
• wzp21142 / NIDS_Reproduction
  Reproduce the code of papers related to the field of NIDS(network intrusion detection system).入侵检测领域的相关论文复现/适配本地PC后的代码.
  ☆26Updated 4 years ago
• Bingmang / kddcup99-cnn
  Using PyTorch to train kddcup99 dataset with convolutional neural networks.
  ☆53Updated 6 years ago
• Jumabek / net_intrusion_detection
  Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution
  ☆46Updated 10 months ago
• benradford / replication_arxiv_1803_10769
  Replication files for arXiv:1803.10769 Network Traffic Anomaly Detection Using Recurrent Neural Networks
  ☆22Updated 6 years ago
• demonCoder95 / ML-based-IDS-CICIDS2017
  This is a simple DNN based application for an IDS based on the CICIDS2017 dataset
  ☆32Updated 4 years ago
• AnushManglani / Anomaly-based-Intrusion-Detection-System
  Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.
  ☆34Updated 4 years ago
• munhouiani / LuNet
  Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection
  ☆52Updated 5 years ago
• brett-gt / IntrusionDetectionSystem
  Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.
  ☆33Updated 4 years ago
• Faridbg / CNN_UNSW-NB15
  DISEÑO Y EVALUACIÓN DE REDES NEURONALES CONVOLUCIONALES PARA UN SISTEMA DE DETECCIÓN DE INTRUSIONES
  ☆14Updated 4 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
  ☆89Updated 2 years ago
• parqz / IDS-Using-CNN-RNN
  Intrusion detection system using CNN and RNN
  ☆24Updated 5 years ago
• mydre / wang-wei-s-research
  Wang Wei's End-to-end encrypted traffic classification with one-dimensional convolution neural networks (scripts and article))
  ☆30Updated 4 years ago
• Battlingboy / AE-IDS
  Network Intrusion Detection System(Abnormal Detection)
  ☆11Updated 4 years ago
• Scorks / GAN_DRL_IDS
  Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks
  ☆44Updated 7 months ago
• 85lx / ETC_CNN
  Encrypted traffic classification use CNN
  ☆33Updated 4 years ago
• BNN-UPC / GNN-NIDS
  ☆47Updated 3 years ago
• abhi-jith23 / Intrusion-Detection-System-using-DL
  An intrusion detection system model developed using CNN and Bi-LSTM.
  ☆13Updated 2 years ago