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
- An intrusion detection system model developed using CNN and Bi-LSTM.☆12Updated 2 years ago
- Deep learning models for network intrusion detection☆35Updated 2 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆68Updated 4 years ago
- CICIDS2017 dataset☆69Updated 3 years ago
- Intrusion detection system using CNN and RNN☆24Updated 5 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆34Updated 4 years ago
- IDS abnormal traffic detection tensorflow☆39Updated 5 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆87Updated last year
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 5 years ago
- Intrusion Detection System - IDS example using Dense, Conv1d and Lstm layers in Keras / TensorFlow☆22Updated last year
- 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
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆45Updated 10 months ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆53Updated 5 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
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 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
- This project is an open-source project based on a GAN network anomaly detection.☆13Updated 8 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
- Based on the CICIDS2017 dataset and Pytorch platform☆28Updated 5 years ago
- A Deep Learning Based Intrusion Detection System for IIoT Networks☆10Updated 9 months ago
- Network Intrusion Detection System(Abnormal Detection)☆11Updated 4 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆32Updated 4 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆47Updated 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 6 years ago
- ☆41Updated 2 years ago
- A Deep Learning approach toward creating a NIDS using python☆25Updated last year
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆31Updated 4 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.☆26Updated 3 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆44Updated 7 months ago