abhi-jith23 / Intrusion-Detection-System-using-DLLinks
An intrusion detection system model developed using CNN and Bi-LSTM.
☆13Updated 3 years ago
Alternatives and similar repositories for Intrusion-Detection-System-using-DL
Users that are interested in Intrusion-Detection-System-using-DL are comparing it to the libraries listed below
Sorting:
- ☆45Updated 3 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆47Updated 5 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 5 years ago
- ☆11Updated 3 years ago
- Implementation of Research Paper titled: An explainable AI based Intrusion Detection System for DNS over HTTPS (DoH) Attacks on CICIDS da…☆10Updated 2 years ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆18Updated 2 years ago
- ☆14Updated last year
- ☆20Updated 7 months ago
- Implement a VAE to learn a reduced state space representation from the NSL-KDD dataset, capturing essential features of normal network t…☆13Updated last year
- Implementation of "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"☆13Updated 3 years ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆33Updated 2 years ago
- An Intrusion Detection System based on Deep Belief Networks☆86Updated 2 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆114Updated 2 years ago
- PyTorch implementation of the paper "Privacy-preserving Few-shot Traffic Detection against Advanced Persistent Threats via Federated Meta…☆19Updated last year
- This platform is designed and implemented for encrypted traffic classification using deep learning☆15Updated last year
- Anomaly Detection using PCA and BiGAN☆13Updated 4 years ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆22Updated last year
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆73Updated 4 years ago
- ☆18Updated last year
- This repository presents the implemetation of a highly optimized Deep Transfer Learning (DTL) and Genetic Algorithm (GA) based intrusion …☆17Updated last year
- ☆16Updated 3 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆35Updated 2 years ago
- Network Traffic Classification with Graph Neural Networks☆10Updated last year
- ☆24Updated 6 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆46Updated 11 months ago
- ☆26Updated 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☆33Updated 7 years ago
- Unofficial repo of the research paper ”An Intrusion Detection System Using a Deep Neural Network with Gated Recurrent Units“. Developed u…☆33Updated 5 years ago
- using 2d-cnn to classify network traffic☆21Updated 5 years ago