mehrdadmb2 / IntrusionDetectionModelsLinks
A Python-based project for network intrusion detection using various deep learning models (LSTM, GRU, CNN-LSTM, BiLSTM). It includes data preprocessing, time-series transformation, and model evaluation tools.
☆9Updated last year
Alternatives and similar repositories for IntrusionDetectionModels
Users that are interested in IntrusionDetectionModels are comparing it to the libraries listed below
Sorting:
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆118Updated 3 years ago
- Replication of Jay Sinha's Efficient Deep CNN-BiLSTM model for network intrusion detection using NSL-KDD and UNSW-NB15 datasets to unders…☆14Updated last year
- 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
- the DL methods used are : DNN, CNN, LSTM, GRU, CNN-LSTM, CNN-GRU, CNN-BiLSTM, CNN-BiGRU, the dataset used is : imbalanced NSL-KDD (KDDTra…☆46Updated 3 years ago
- An Intrusion Detection System based on Deep Belief Networks☆89Updated 3 years ago
- ☆47Updated 3 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆89Updated last year
- ☆94Updated 2 years ago
- Network System Intrusion Detection using Graph Neural Networks☆20Updated 2 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆56Updated 6 years ago
- DISEÑO Y EVALUACIÓN DE REDES NEURONALES CONVOLUCIONALES PARA UN SISTEMA DE DETECCIÓN DE INTRUSIONES☆14Updated 5 years ago
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆184Updated 4 years ago
- This platform is designed and implemented for encrypted traffic classification using deep learning☆18Updated 2 years ago
- Intrusion Detection System, IDS,Cyberattack Detection,Pytorch,Transformer☆11Updated 3 years ago
- Deep learning models for network intrusion detection☆39Updated 2 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆48Updated 5 years ago
- ☆75Updated 11 months ago
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆195Updated 2 years ago
- The proposed hybrid IDS is tested on two public network datasets, the CSE-CIC-IDS2018 and the TON IoT datasets, representing internal and…☆16Updated 3 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆24Updated last year
- 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…☆11Updated last year
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆38Updated 5 years ago
- This project aims to identify and classify the anomalies captured in network traffic using different machine learning strategies. After t…☆13Updated 3 years ago
- 论文Encrypted Traffic Classification with One-dimensional Convolution Neural Networks的torch实现☆41Updated 3 years ago
- Feature coded UNSW_NB15 intrusion detection data.☆88Updated 7 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆37Updated 2 years ago
- Replication files for arXiv:1803.10769 Network Traffic Anomaly Detection Using Recurrent Neural Networks☆24Updated 6 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆50Updated last year