ImSourin / Network-Intrusion-Detection
This project aims to detect Intrusions with a network using deep learning. The network traffic data is converted to multi channel RGB images, that are passed through CNNs to detect features useful to intrusion detection. (Additionally, we also experimented with dense SIFT based feature description. To discuss more on it, feel free to reach out.)
☆11Updated 3 years ago
Alternatives and similar repositories for Network-Intrusion-Detection
Users that are interested in Network-Intrusion-Detection are comparing it to the libraries listed below
Sorting:
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆68Updated 4 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆13Updated 2 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆53Updated 6 years ago
- Deep learning models for network intrusion detection☆35Updated 2 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆34Updated 4 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆46Updated 11 months ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆47Updated 4 years ago
- Intrusion detection system using CNN and RNN☆24Updated 5 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆87Updated last year
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 5 years ago
- 这是一个封装了KDDCup99、NSL-KDD、UNSW-NB15等入侵监测数据集的Python包。☆46Updated 4 years ago
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆26Updated 4 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆44Updated 4 years ago
- IDS abnormal traffic detection tensorflow☆39Updated 5 years ago
- Intrusion Detection System - IDS example using Dense, Conv1d and Lstm layers in Keras / TensorFlow☆22Updated 2 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- Network Intrusion Detection System(Abnormal Detection)☆11Updated 4 years ago
- Two staged IDS specific to IoT networks where Signature based IDS and Anomaly based IDS which is trained and classified using machine lea…☆43Updated 5 years ago
- CICIDS2017 dataset☆69Updated 3 years ago
- Deep learning based Intrusion Detection System☆31Updated 5 years ago
- A Deep Learning Based Intrusion Detection System for IIoT Networks☆11Updated 10 months ago
- Tensorflow Implementation of paper Applying long short-term memory recurrent neural networks to intrusion detection with KDDCup99 Data☆15Updated 6 years ago
- A deep learning based intrusion detection system using CSE-CIC-IDS2018 dataset.☆12Updated 5 years ago
- IoT intrusion Detection Model based on neural network and random forests☆45Updated 6 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.…☆40Updated 6 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
- An Intrusion Detection System based on Deep Belief Networks☆83Updated 2 years ago
- We use attention model for intrusion detection. The idea of Hierarchical Attention Model for Intrusion Detection comes from the applicat…☆12Updated 4 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆33Updated 4 years ago