lemonadeaumiel / Hybrid-IDS_CICIDS2018Links
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.…
☆16Updated 3 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
Sorting:
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆75Updated 5 years ago
- An Intrusion Detection System based on Deep Belief Networks☆89Updated 3 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆48Updated 5 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 5 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆89Updated last year
- ☆20Updated 10 months ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆118Updated 3 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- ☆48Updated 3 years ago
- This platform is designed and implemented for encrypted traffic classification using deep learning☆18Updated 2 years ago
- Replication of Jay Sinha's Efficient Deep CNN-BiLSTM model for network intrusion detection using NSL-KDD and UNSW-NB15 datasets to unders…☆15Updated last year
- This project is an open-source project based on a GAN network anomaly detection.☆14Updated last year
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆50Updated last year
- This project aims to identify and classify the anomalies captured in network traffic using different machine learning strategies. After t…☆13Updated 3 years ago
- Implementation of a multi-task model for encrypted network traffic classification based on transformer and 1D-CNN.☆37Updated last year
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆24Updated last year
- Intrusion Detection System (Classifier) Using CIC IDS 2017 Datasets☆14Updated 4 years ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆18Updated 2 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆57Updated 6 years ago
- This study proposes a two- level classification technique for the anomaly detection-based IDS architecture for fog-edge sides. Targeted f…☆13Updated 3 years ago
- Implementation of "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"☆14Updated 3 years ago
- 论文Encrypted Traffic Classification with One-dimensional Convolution Neural Networks的torch实现☆41Updated 3 years ago
- ☆11Updated 2 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆37Updated 2 years ago
- using 2d-cnn to classify network traffic☆21Updated 5 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…☆11Updated last year
- This repository presents the implemetation of a highly optimized Deep Transfer Learning (DTL) and Genetic Algorithm (GA) based intrusion …☆18Updated 2 years ago
- ☆15Updated last year
- DISEÑO Y EVALUACIÓN DE REDES NEURONALES CONVOLUCIONALES PARA UN SISTEMA DE DETECCIÓN DE INTRUSIONES☆14Updated 5 years ago
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆195Updated 2 years ago