zhmhbest / python-nidsdata

Related projects ⓘ

Alternatives and complementary repositories for python-nidsdata

• perriDplatypus / Anomaly-Detection-KDD99-CNNLSTM
  Intrusion Detection System using Machine Learning and Deep Learning
  ☆82Updated 10 months 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.
  ☆66Updated 4 years ago
• Bingmang / kddcup99-cnn
  Using PyTorch to train kddcup99 dataset with convolutional neural networks.
  ☆53Updated 5 years ago
• demonCoder95 / ML-based-IDS-CICIDS2017
  This is a simple DNN based application for an IDS based on the CICIDS2017 dataset
  ☆25Updated 4 years ago
• chenxu93 / abnormal-traffic
  IDS abnormal traffic detection tensorflow
  ☆38Updated 5 years ago
• dendyikbc / kdd99-cnn-1
  Intrusion Detection Based on Convolutional Neural Network with kdd99 data set
  ☆52Updated 5 years ago
• elifnurkarakoc / CICIDS2017
  CICIDS2017 dataset
  ☆55Updated 2 years ago
• jayxsinha / Efficient-CNN-BiLSTM-for-Network-IDS
  Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS
  ☆95Updated 2 years ago
• ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks
  ☆42Updated 3 years ago
• munhouiani / LuNet
  Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection
  ☆53Updated 4 years ago
• ZhangJiTaoA / An-Intrusion-Detection-Model-with-Transformer-BiLSTM
  ☆35Updated 2 years ago
• zhang-hongpo / SGM-CNN
  Our implementations of the flow-based network intrusion detection model (for the COMNET paper)
  ☆43Updated 4 years ago
• FrazHackz / Network-Intrusion-Detection-System-Deep-Learning
  Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)
  ☆12Updated 4 years ago
• cxmirene / KDDCUP99-Detection
  使用贝叶斯、神经网络、KNN进行入侵检测（KDD-CUP99）
  ☆77Updated 4 years ago
• Battlingboy / AE-IDS
  Network Intrusion Detection System(Abnormal Detection)
  ☆11Updated 4 years ago
• InitRoot / UNSW_NB15
  Feature coded UNSW_NB15 intrusion detection data.
  ☆80Updated 6 years ago
• othmbela / dbn-based-nids
  An Intrusion Detection System based on Deep Belief Networks
  ☆73Updated 2 years ago
• mehrdadep / deep-learning-nids
  A Deep Learning approach toward creating a NIDS using python
  ☆23Updated last year
• sgamage2 / dl_ids_survey
  Deep learning models for network intrusion detection
  ☆33Updated last year
• wmn7 / Traffic-Classification
  Code for Intrusion Detection Systems and Encrypted Traffic Classification [No Further Updates]
  ☆32Updated 3 years ago
• brett-gt / IntrusionDetectionSystem
  Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.
  ☆27Updated 4 years ago
• AnushManglani / Anomaly-based-Intrusion-Detection-System
  Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.
  ☆30Updated 4 years ago
• GYXGY / Anomaly-Detection
  Based on the CICIDS2017 dataset and Pytorch platform
  ☆26Updated 5 years ago
• xyyx62 / GAN-IDS
  Distributed intelligent malicious traffic detection system based on GAN
  ☆17Updated 4 years ago
• Jumabek / net_intrusion_detection
  Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution
  ☆41Updated 5 months ago
• Scorks / GAN_DRL_IDS
  Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks
  ☆40Updated 2 months ago
• bobolike123 / NetworkTrafficAnalysis
  论文:A Deep Hierarchical Network for Packet-Level Malicious Traffic Detection的源代码
  ☆22Updated 2 years ago
• parqz / IDS-Using-CNN-RNN
  Intrusion detection system using CNN and RNN
  ☆22Updated 5 years ago
• PradeepThapa / nsl_kdd_classification
  Cyber-attack classification in the network traffic database using NSL-KDD dataset
  ☆23Updated 4 years ago
• Nir-J / ML-Projects
  Basic Machine learning projects and assignments done by me.
  ☆32Updated 4 years ago