ImSourin / Network-Intrusion-DetectionLinks
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.)
☆12Updated 4 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:
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆50Updated last year
- An intrusion detection system model developed using CNN and Bi-LSTM.☆13Updated 3 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆75Updated 5 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆57Updated 6 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆88Updated 2 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 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
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆49Updated 5 years ago
- 论文:A Deep Hierarchical Network for Packet-Level Malicious Traffic Detection的源代码☆32Updated 3 years ago
- IDS abnormal traffic detection tensorflow☆44Updated 6 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆13Updated 5 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 5 years ago
- Deep learning models for network intrusion detection☆40Updated 2 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 7 years ago
- An Intrusion Detection System based on Deep Belief Networks☆90Updated 3 years ago
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆27Updated 5 years ago
- Intrusion detection system using CNN and RNN☆25Updated 6 years ago
- using 2d-cnn to classify network traffic☆21Updated 5 years ago
- IoT intrusion Detection Model based on neural network and random forests☆48Updated 7 years ago
- CICIDS2017 dataset☆70Updated 4 years ago
- Encrypted Traffic classification☆17Updated 6 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆44Updated 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。☆52Updated 5 years ago
- Intrusion Detection System - IDS example using Dense, Conv1d and Lstm layers in Keras / TensorFlow☆25Updated 2 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆40Updated 5 years ago
- ☆48Updated 3 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
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆191Updated 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 4 years ago
- We use attention model for intrusion detection. The idea of Hierarchical Attention Model for Intrusion Detection comes from the applicat…☆12Updated 5 years ago