the DL methods used are : DNN, CNN, LSTM, GRU, CNN-LSTM, CNN-GRU, CNN-BiLSTM, CNN-BiGRU, the dataset used is : imbalanced NSL-KDD (KDDTrain+, KDDTest20+)
☆48Sep 24, 2022Updated 3 years ago
Alternatives and similar repositories for NIDS-based-on-DL-with-imbalanced-NSL-KDD
Users that are interested in NIDS-based-on-DL-with-imbalanced-NSL-KDD are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Replication of Jay Sinha's Efficient Deep CNN-BiLSTM model for network intrusion detection using NSL-KDD and UNSW-NB15 datasets to unders…☆17Aug 25, 2024Updated last year
- GAN / AUTOENCODER for network intrusion detection using NSL-KDD dataset: https://www.kaggle.com/datasets/hassan06/nslkdd☆19Apr 25, 2023Updated 3 years ago
- 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.☆27Apr 30, 2021Updated 5 years ago
- Deep Model Intrusion Detection (IDS) Evaluation of NSL KDD and CIC IDS 2018 datasets.☆17May 10, 2023Updated 3 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Sep 14, 2020Updated 5 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Closing price prediction for BTC and ETH using LSTM, CNN-LSTM, BiLSTM, CNN-BiLSTM, and GRU☆35May 31, 2022Updated 4 years ago
- Deep Learning based Intrusion Detection on NSL-KDD Dataset☆14Aug 24, 2019Updated 6 years ago
- A generative deep learning model based on GAN architecture was implemented to generate synthetic network data (benign and malicious) alik…☆10Oct 23, 2021Updated 4 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆51Sep 20, 2024Updated last year
- This project is an open-source project based on a GAN network anomaly detection.☆14Aug 4, 2024Updated last year
- ☆48Aug 7, 2022Updated 3 years ago
- Code for the paper: "Supervised contrastive learning over prototype-label embeddings for network intrusion detection"☆15Jun 7, 2021Updated 5 years ago
- Network System Intrusion Detection using Graph Neural Networks☆22Aug 1, 2023Updated 2 years ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆29Sep 10, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- BiLSTM-CNN for Chinese text classification.☆19Jan 26, 2021Updated 5 years ago
- A Python-based project for network intrusion detection using various deep learning models (LSTM, GRU, CNN-LSTM, BiLSTM). It includes data…☆10Nov 11, 2024Updated last year
- 这是一个封装了KDDCup99、NSL-KDD、UNSW-NB15等入侵监测数据集的Python包。☆52Aug 10, 2020Updated 5 years ago
- Machine Learning Algorithms on NSL-KDD dataset☆97May 30, 2019Updated 7 years ago
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆27Sep 25, 2020Updated 5 years ago
- An Intrusion Detection System based on Deep Belief Networks☆93Oct 27, 2022Updated 3 years ago
- Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15☆772May 8, 2019Updated 7 years ago
- Extracting data and analyzing the network traffic flow☆13Jul 19, 2018Updated 7 years ago
- This project aims to detect Intrusions with a network using deep learning. The network traffic data is converted to multi channel RGB ima…☆12Nov 27, 2021Updated 4 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- 用TensorFlow搭建CNN/RNN/LSTM/GRU/BiRNN/BiLSTM/BiGRU/Capsule Network等deep learning模型☆61Nov 7, 2018Updated 7 years ago
- ☆15Sep 15, 2021Updated 4 years ago
- ☆13Sep 11, 2022Updated 3 years ago
- ☆18Sep 2, 2025Updated 9 months ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆42Jun 15, 2020Updated 6 years ago
- Multiobjective Adaptive Surrogate Modeling-based Optimization Toolbox I☆10Aug 3, 2018Updated 7 years ago
- Deep Clustering Analysis via Dual Variational Autoencoder with Spherical Latent Embeddings powered by@torch☆12Dec 12, 2021Updated 4 years ago
- A backdoor attack by vulnerability amplification on online machine learning-based network intrusion detection system☆22Aug 24, 2021Updated 4 years ago
- This repository contains an in-depth analysis of the Intrusion Detection Evaluation Dataset (CIC-IDS2017) for Intrusion Detection, showca…☆133Oct 19, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Modern Deep Network Toolkits for Tensorflow-Keras. This is a extension for newest tensorflow 1.x.☆13Aug 30, 2020Updated 5 years ago
- Transfer Learning☆10Aug 3, 2018Updated 7 years ago
- Themis: Ambiguity-Aware Network Intrusion Detection based on Symbolic Model Comparison☆24Mar 4, 2023Updated 3 years ago
- NEGSC☆48May 30, 2024Updated 2 years ago
- DuBE: Duple-balanced Ensemble Learning from Skewed Data☆10Oct 31, 2022Updated 3 years ago
- Anomaly detection with GAN+RL☆11Jan 12, 2019Updated 7 years ago
- An implementation of FedHealth☆11May 26, 2021Updated 5 years ago