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 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Network-Intrusion-Detection
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆66Updated 4 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆12Updated 2 years ago
- Intrusion detection system using CNN and RNN☆22Updated 5 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆52Updated 5 years ago
- Deep learning models for network intrusion detection☆33Updated last year
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆42Updated 3 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆30Updated 4 years ago
- A Deep Learning Based Intrusion Detection System for IIoT Networks☆10Updated 4 months ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆81Updated 10 months ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆53Updated 4 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆40Updated 5 months ago
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆23Updated 4 years ago
- Network Intrusion Detection System(Abnormal Detection)☆11Updated 4 years ago
- Distributed intelligent malicious traffic detection system based on GAN☆17Updated 4 years ago
- CICIDS2017 dataset☆55Updated 2 years ago
- A Recurrent Neural Networks implementation using Keras for network intrusion detection☆30Updated 3 years ago
- Intrusion Detection System (Classifier) Using CIC IDS 2017 Datasets☆12Updated 3 years ago
- Tensorflow Implementation of paper Applying long short-term memory recurrent neural networks to intrusion detection with KDDCup99 Data☆15Updated 6 years ago
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆25Updated 4 years ago
- Due to the increasingly development of network technology recently, there are various cyber-attacks posed the huge threats to different …☆29Updated 6 years ago
- Based on the CICIDS2017 dataset and Pytorch platform☆26Updated 5 years ago
- A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".☆35Updated 7 years ago
- IDS abnormal traffic detection tensorflow☆38Updated 5 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆95Updated 2 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆27Updated 4 years ago
- A deep learning based intrusion detection system using CSE-CIC-IDS2018 dataset.☆12Updated 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…☆37Updated 5 years ago
- Intrusion Detection System - IDS example using Dense, Conv1d and Lstm layers in Keras / TensorFlow☆20Updated last year
- IoT intrusion Detection Model based on neural network and random forests☆43Updated 6 years ago