shahidlatif126 / DTL-IDS-An-Optimized-Intrusion-Detection-Framework-using-DTL-and-GA
This repository presents the implemetation of a highly optimized Deep Transfer Learning (DTL) and Genetic Algorithm (GA) based intrusion detection framework.
☆15Updated 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
- ☆19Updated 2 months ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆46Updated 4 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
- Application of novel EC-GAN method on Network Intrusion Detection☆19Updated 3 years ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆16Updated last year
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆33Updated last year
- ☆40Updated 2 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆33Updated 4 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆12Updated 2 years ago
- ☆21Updated 4 years ago
- GAN / AUTOENCODER for network intrusion detection using NSL-KDD dataset: https://www.kaggle.com/datasets/hassan06/nslkdd☆17Updated last year
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆68Updated 4 years ago
- A GAN-based model focused on anomaly detection in discrete dataset☆26Updated 5 years ago
- Implementation of "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"☆13Updated 2 years ago
- An Intrusion Detection System based on Deep Belief Networks☆82Updated 2 years ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆33Updated 2 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
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆22Updated 6 months ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 4 years ago
- This platform is designed and implemented for encrypted traffic classification using deep learning☆13Updated last year
- convGRU based autoencoder for unsupervised & spatial-temporal anomaly detection in computer network (PCAP) traffic.☆17Updated last year
- Two staged IDS specific to IoT networks where Signature based IDS and Anomaly based IDS which is trained and classified using machine lea…☆42Updated 5 years ago
- Code Snippet used to convert CSV dataset into Images in IEEE Published Article: IoT DoS and DDoS Attack Detection using ResNet☆13Updated 3 years ago
- Intrusion Detection System (Classifier) Using CIC IDS 2017 Datasets☆13Updated 3 years ago
- Generative adversarial networks for Network Intrusion Benchmark datasets☆34Updated 8 months ago
- Attention Model for Network Intrusion Detection☆17Updated 5 years ago
- Network Intrusion Detection System on CSE-CIC-IDS2018 using ML classifiers and DNN ( ANN , CNN , RNN ) | Hyper-parameter Optimization { l…☆20Updated 3 years ago
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆25Updated 4 years ago
- Correlation Aware DDoS Detection In IoT Systems☆9Updated last year