shahidlatif126 / DTL-IDS-An-Optimized-Intrusion-Detection-Framework-using-DTL-and-GALinks
This repository presents the implemetation of a highly optimized Deep Transfer Learning (DTL) and Genetic Algorithm (GA) based intrusion detection framework.
☆17Updated last year
Alternatives and similar repositories for DTL-IDS-An-Optimized-Intrusion-Detection-Framework-using-DTL-and-GA
Users that are interested in DTL-IDS-An-Optimized-Intrusion-Detection-Framework-using-DTL-and-GA are comparing it to the libraries listed below
Sorting:
- 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
- Application of novel EC-GAN method on Network Intrusion Detection☆22Updated 3 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆35Updated 2 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆13Updated 3 years ago
- ☆20Updated 7 months ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆47Updated 5 years ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆33Updated 2 years ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆18Updated 2 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
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- Generative adversarial networks for Network Intrusion Benchmark datasets☆38Updated last year
- Implementation of "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"☆13Updated 3 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 5 years ago
- An Intrusion Detection System based on Deep Belief Networks☆86Updated 2 years ago
- ☆46Updated 3 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆46Updated 2 years ago
- Network Intrusion Detection System on CSE-CIC-IDS2018 using ML classifiers and DNN ( ANN , CNN , RNN ) | Hyper-parameter Optimization { l…☆22Updated 3 years ago
- Attention Model for Network Intrusion Detection☆18Updated 6 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆73Updated 4 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆36Updated 5 years ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆22Updated last year
- convGRU based autoencoder for unsupervised & spatial-temporal anomaly detection in computer network (PCAP) traffic.☆17Updated last year
- PyTorch implementation of the paper "Privacy-preserving Few-shot Traffic Detection against Advanced Persistent Threats via Federated Meta…☆19Updated last year
- ☆14Updated last year
- ☆10Updated 2 years ago
- A GAN-based model focused on anomaly detection in discrete dataset☆26Updated 5 years ago
- Network Traffic Classification with Graph Neural Networks☆11Updated last year
- We use attention model for intrusion detection. The idea of Hierarchical Attention Model for Intrusion Detection comes from the applicat…☆12Updated 5 years ago
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆184Updated 2 years ago