zhang-hongpo / SGM-CNN
Our implementations of the flow-based network intrusion detection model (for the COMNET paper)
☆43Updated 4 years ago
Alternatives and similar repositories for SGM-CNN:
Users that are interested in SGM-CNN are comparing it to the libraries listed below
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆53Updated 4 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆68Updated 4 years ago
- ☆37Updated 2 years ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆21Updated 4 months ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆31Updated 4 years ago
- IDS abnormal traffic detection tensorflow☆38Updated 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 6 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆43Updated 4 months ago
- Development of a transfer learning system for the detection of cyber-attacks in 5G and IoT networks. Transfer learning will improve the a…☆13Updated 2 years ago
- This study proposes a two- level classification technique for the anomaly detection-based IDS architecture for fog-edge sides. Targeted f…☆13Updated 2 years ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆31Updated last year
- We use attention model for intrusion detection. The idea of Hierarchical Attention Model for Intrusion Detection comes from the applicat…☆12Updated 4 years ago
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆29Updated 4 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
- DISEÑO Y EVALUACIÓN DE REDES NEURONALES CONVOLUCIONALES PARA UN SISTEMA DE DETECCIÓN DE INTRUSIONES☆13Updated 4 years ago
- ☆19Updated this week
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 4 years ago
- Intrusion Detection System (Classifier) Using CIC IDS 2017 Datasets☆12Updated 3 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆44Updated last year
- Intrusion detection system using CNN and RNN☆22Updated 5 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆12Updated 2 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years 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…☆9Updated 10 months ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆29Updated 4 years ago
- CICIDS2017 dataset☆60Updated 3 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆42Updated 7 months ago
- Generative adversarial networks for Network Intrusion Benchmark datasets☆32Updated 5 months ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆43Updated 4 years ago
- The proposed hybrid IDS is tested on two public network datasets, the CSE-CIC-IDS2018 and the TON IoT datasets, representing internal and…☆12Updated 2 years ago