pfreitasaf / FIDGAN
☆21Updated 4 years ago
Alternatives and similar repositories for FIDGAN:
Users that are interested in FIDGAN are comparing it to the libraries listed below
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆43Updated 4 years ago
- Anomaly Detection using PCA and BiGAN☆13Updated 4 years ago
- A GAN-based model focused on anomaly detection in discrete dataset☆24Updated 5 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆68Updated 4 years ago
- ☆19Updated last year
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆43Updated 3 months ago
- Intrusion Detection System (Classifier) Using CIC IDS 2017 Datasets☆12Updated 3 years ago
- Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets☆20Updated 2 years ago
- This project is an open-source project based on a GAN network anomaly detection.☆12Updated 5 months 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
- Generative adversarial networks for Network Intrusion Benchmark datasets☆32Updated 5 months ago
- This is the source code of "Intrusion Detection of Industrial Internet-of-Things Based on Reconstructed Graph Neural Networks"☆11Updated last year
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆31Updated 4 years 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
- 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
- GAN / AUTOENCODER for network intrusion detection using NSL-KDD dataset: https://www.kaggle.com/datasets/hassan06/nslkdd☆15Updated last year
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆44Updated last year
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆42Updated 4 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆29Updated last year
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆31Updated last year
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆23Updated 4 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆53Updated 4 years ago
- DISEÑO Y EVALUACIÓN DE REDES NEURONALES CONVOLUCIONALES PARA UN SISTEMA DE DETECCIÓN DE INTRUSIONES☆13Updated 4 years ago
- This repository presents the implemetation of a highly optimized Deep Transfer Learning (DTL) and Genetic Algorithm (GA) based intrusion …☆13Updated last year
- 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☆32Updated 6 years ago
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 4 years ago
- using 2d-cnn to classify network traffic☆20Updated 4 years ago
- Deep learning models for network intrusion detection☆33Updated last year
- 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…☆8Updated 10 months ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆42Updated 7 months ago