lemonadeaumiel / Hybrid-IDS_CICIDS2018
The proposed hybrid IDS is tested on two public network datasets, the CSE-CIC-IDS2018 and the TON IoT datasets, representing internal and external network traffic data. Various measures, such as accuracy, detection rates, false alarm rates, F1 scores, and model execution time, are used to assess the model's feasibility, efficacy, and efficiency.…
☆12Updated 2 years ago
Alternatives and similar repositories for Hybrid-IDS_CICIDS2018:
Users that are interested in Hybrid-IDS_CICIDS2018 are comparing it to the libraries listed below
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆68Updated 4 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆43Updated 5 months ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆43Updated 4 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆53Updated 4 years ago
- Intrusion Detection System (Classifier) Using CIC IDS 2017 Datasets☆12Updated 3 years ago
- ☆37Updated 2 years ago
- ☆19Updated 3 weeks ago
- Implementation of "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"☆14Updated 2 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆31Updated 4 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
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆30Updated last year
- Generative adversarial networks for Network Intrusion Benchmark datasets☆34Updated 6 months ago
- Deep learning models for network intrusion detection☆34Updated last year
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆42Updated 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 11 months ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆106Updated 2 years ago
- An Intrusion Detection System based on Deep Belief Networks☆80Updated 2 years ago
- Intrusion Detection System - IDS example using Dense, Conv1d and Lstm layers in Keras / TensorFlow☆22Updated last year
- This project is an open-source project based on a GAN network anomaly detection.☆12Updated 6 months ago
- IDS abnormal traffic detection tensorflow☆39Updated 5 years ago
- ☆10Updated last year
- using 2d-cnn to classify network traffic☆20Updated 4 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆52Updated 5 years ago
- A study on Deep Learning and Graph Neural Network for Intrusion Detection and Prevention (CNN, VAE, GNN,...)☆9Updated 2 years ago
- DISEÑO Y EVALUACIÓN DE REDES NEURONALES CONVOLUCIONALES PARA UN SISTEMA DE DETECCIÓN DE INTRUSIONES☆13Updated 4 years ago
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆25Updated 4 years ago
- 在当前的数字时代，随着网络攻击日益复杂和频繁，网络安全成为了保障信息安全的重中之重。尤其是在网络入侵检测领域，传统的基于规则的检测方法已经难以应对日新月异的攻击技术。因此，利用深度学习技术进行网络入侵检测成为了研究的新趋势。本项目旨在开发一种基于卷积神经网络（CNN）和Tr…☆16Updated 10 months ago
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 4 years ago
- This is a CNN model for prediction of cyber attack, trained using NSL-KDD dataset☆9Updated 11 months ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆16Updated last year