Abhijeet1990 / DL_based_IDSLinks
This repository consists of python codes that performs attack classification based on the KDD and CIDDS dataset using CNN, LSTM-RNN and HMM.
☆22Updated 2 years ago
Alternatives and similar repositories for DL_based_IDS
Users that are interested in DL_based_IDS are comparing it to the libraries listed below
Sorting:
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆46Updated 5 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆55Updated 6 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆72Updated 4 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- Feature coded UNSW_NB15 intrusion detection data.☆88Updated 7 years ago
- Deep learning models for network intrusion detection☆37Updated 2 years ago
- IDS abnormal traffic detection tensorflow☆40Updated 5 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
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆113Updated 2 years ago
- An Intrusion Detection System based on Deep Belief Networks☆84Updated 2 years ago
- using 2d-cnn to classify network traffic☆21Updated 5 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆88Updated last year
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆46Updated last year
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 4 years ago
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆175Updated 3 years ago
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆33Updated 4 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆42Updated 4 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆45Updated 9 months ago
- 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
- Using PyTorch to train kddcup99 dataset with convolutional neural networks.☆54Updated 6 years ago
- This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the stu…☆32Updated 6 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆34Updated 5 years ago
- A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".☆38Updated 8 years ago
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆26Updated 4 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
- I have tried some of the machine learning and deep learning algorithm for IDS 2017 dataset. The link for the dataset is here: http://www.…☆41Updated 6 years ago
- Wang Wei's End-to-end encrypted traffic classification with one-dimensional convolution neural networks (scripts and article))☆32Updated 4 years ago
- Replication files for arXiv:1803.10769 Network Traffic Anomaly Detection Using Recurrent Neural Networks☆22Updated 6 years ago
- Based on the CICIDS2017 dataset and Pytorch platform☆28Updated 6 years ago
- Python Script that sniffs network traffic on a Apache server and use anomaly detection methods to detect DDoS attack.☆8Updated 5 years ago