Scorks / GAN_DRL_IDS
Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks
☆44Updated 6 months ago
Alternatives and similar repositories for GAN_DRL_IDS:
Users that are interested in GAN_DRL_IDS are comparing it to the libraries listed below
- ⼀个有潜⼒的⽹络⼊侵检测算法，引⼊了乘法注意⼒机制将其融合到 CNN 的分类模型中，在KDD99和UNSM-NB15数据集进行模型的训练结果优于一般机器学习方法和CNN。A promising network intrusion detection algorithm is…☆10Updated last year
- ☆40Updated 2 years ago
- Deep learning models for network intrusion detection☆35Updated 2 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆68Updated 4 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆34Updated 4 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆31Updated 4 years ago
- Intrusion detection system using CNN and RNN☆23Updated 5 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆47Updated 4 years ago
- CICIDS2017 dataset☆68Updated 3 years ago
- Unofficial repo of the research paper ”An Intrusion Detection System Using a Deep Neural Network with Gated Recurrent Units“. Developed u…☆33Updated 5 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- Network Intrusion Detection System on CSE-CIC-IDS2018 using ML classifiers and DNN ( ANN , CNN , RNN ) | Hyper-parameter Optimization { l…☆20Updated 3 years ago
- This study proposes a two- level classification technique for the anomaly detection-based IDS architecture for fog-edge sides. Targeted f…☆13Updated 2 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆108Updated 2 years ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆22Updated 7 months ago
- A Deep Learning Based Intrusion Detection System for IIoT Networks☆10Updated 9 months ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆53Updated 5 years ago
- GAN / AUTOENCODER for network intrusion detection using NSL-KDD dataset: https://www.kaggle.com/datasets/hassan06/nslkdd☆17Updated last year
- Intrusion Detection System using Machine Learning and Deep Learning☆88Updated last year
- Generative adversarial networks for Network Intrusion Benchmark datasets☆35Updated 8 months ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆43Updated 4 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆33Updated last year
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 5 years ago
- Development of a transfer learning system for the detection of cyber-attacks in 5G and IoT networks. Transfer learning will improve the a…☆14Updated 2 years ago
- This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the stu…☆33Updated 6 years ago
- Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets☆21Updated 2 years ago
- An Intrusion Detection System based on Deep Belief Networks☆82Updated 2 years ago
- Intrusion Detection System (Classifier) Using CIC IDS 2017 Datasets☆13Updated 3 years ago
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆25Updated 4 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago