Scorks / GAN_DRL_IDSLinks
Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks
☆50Updated last year
Alternatives and similar repositories for GAN_DRL_IDS
Users that are interested in GAN_DRL_IDS are comparing it to the libraries listed below
Sorting:
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆40Updated 5 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆75Updated 5 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 5 years ago
- An Intrusion Detection System based on Deep Belief Networks☆90Updated 3 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆122Updated 3 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆49Updated 5 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆88Updated 2 years ago
- ☆48Updated 3 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆57Updated 6 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆13Updated 5 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆50Updated last year
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆44Updated 5 years ago
- Intrusion detection system using CNN and RNN☆25Updated 6 years ago
- Deep learning models for network intrusion detection☆40Updated 2 years ago
- CICIDS2017 dataset☆70Updated 4 years ago
- Unofficial repo of the research paper ”An Intrusion Detection System Using a Deep Neural Network with Gated Recurrent Units“. Developed u…☆31Updated 6 years ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆27Updated last year
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆190Updated 4 years ago
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆198Updated 2 years ago
- Two staged IDS specific to IoT networks where Signature based IDS and Anomaly based IDS which is trained and classified using machine lea…☆45Updated 6 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆38Updated 2 years ago
- This study proposes a two- level classification technique for the anomaly detection-based IDS architecture for fog-edge sides. Targeted f…☆14Updated 3 years ago
- ☆21Updated last year
- Network Intrusion Detection System on CSE-CIC-IDS2018 using ML classifiers and DNN ( ANN , CNN , RNN ) | Hyper-parameter Optimization { l…☆21Updated 4 years ago
- Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets☆23Updated 3 years ago
- 论文:A Deep Hierarchical Network for Packet-Level Malicious Traffic Detection的源代码☆32Updated 3 years ago
- manojkumar-github / Intrusion-Detection-System-for-IoT-networks-using-Gated-Recurrent-Neural-Networks-GRUAn Intelligent Intrusion Detection System for IoT networks using Gated Recurrent Neural Networks (GRU) : A Deep Learning Approach☆33Updated 7 years ago
- This repository consists of python codes that performs attack classification based on the KDD and CIDDS dataset using CNN, LSTM-RNN and H…☆23Updated 2 years ago
- GAN / AUTOENCODER for network intrusion detection using NSL-KDD dataset: https://www.kaggle.com/datasets/hassan06/nslkdd☆19Updated 2 years ago