cchuang2009 / 2016-1Links
☆16Updated 3 years ago
Alternatives and similar repositories for 2016-1
Users that are interested in 2016-1 are comparing it to the libraries listed below
Sorting:
- Tensorflow Implementation of paper Applying long short-term memory recurrent neural networks to intrusion detection with KDDCup99 Data☆15Updated 6 years ago
- ☆26Updated 6 years ago
- GNN4ID: A Toolset for Crafting Graph Neural Network-Based NIDS Datasets☆21Updated 6 months ago
- Towards an Explainable Artificial Intelligence Framework for Enhancing Explainability in Network Intrusion Detection Systems☆20Updated 10 months 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
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆38Updated 2 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆37Updated 5 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆13Updated 3 years ago
- ☆47Updated 3 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆47Updated last year
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆63Updated 5 years ago
- NSL KDD binary classification with Transformer☆11Updated 5 years ago
- Network System Intrusion Detection using Graph Neural Networks☆20Updated 2 years ago
- Network Intrusion Detection System(Abnormal Detection)☆11Updated 5 years ago
- Implement a VAE to learn a reduced state space representation from the NSL-KDD dataset, capturing essential features of normal network t…☆13Updated last year
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 5 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆115Updated 2 years ago
- An intelligent classifier based Intrusion Detection System for IoV’s based on Neural Networks like optimized CNN, transfer learning and e…☆18Updated 3 years ago
- This project is an open-source project based on a GAN network anomaly detection.☆13Updated last year
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆56Updated 6 years ago
- Implementation of Research Paper titled: An explainable AI based Intrusion Detection System for DNS over HTTPS (DoH) Attacks on CICIDS da…☆10Updated 2 years ago
- A Recurrent Neural Networks implementation using Keras for network intrusion detection☆31Updated 4 years ago
- Network Intrusion Detection using GNN☆23Updated 8 months ago
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆35Updated 5 years ago
- Baseline experiments on training a Decision Tree Classifier and a Random Forest Classifier using Grid Search with Cross Validation on the…☆47Updated 3 years ago
- PySpark solution to the NSL-KDD dataset: https://www.unb.ca/cic/datasets/nsl.html☆127Updated 5 years ago
- CICIDS2017 dataset☆70Updated 3 years ago
- A study on Deep Learning and Graph Neural Network for Intrusion Detection and Prevention (CNN, VAE, GNN,...)☆14Updated 2 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆74Updated 4 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