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.
☆16Updated 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:
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆46Updated 5 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆34Updated 2 years ago
- ☆20Updated 5 months ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 4 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
- One critical issue within network security refers to intrusion detection. The nature of intrusion attempts appears to be nonlinear, where…☆8Updated 2 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆13Updated 3 years ago
- ☆9Updated 2 years 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
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆72Updated 4 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- A GAN-based model focused on anomaly detection in discrete dataset☆26Updated 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
- We use attention model for intrusion detection. The idea of Hierarchical Attention Model for Intrusion Detection comes from the applicat…☆12Updated 5 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆46Updated 2 years ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆23Updated 10 months ago
- Implementation of "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"☆13Updated 3 years ago
- Correlation Aware DDoS Detection In IoT Systems☆9Updated last year
- Application of novel EC-GAN method on Network Intrusion Detection☆21Updated 3 years ago
- ☆43Updated 2 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆88Updated last year
- An Intrusion Detection System based on Deep Belief Networks☆83Updated 2 years ago
- ☆13Updated last year
- Towards an Explainable Artificial Intelligence Framework for Enhancing Explainability in Network Intrusion Detection Systems☆14Updated 7 months ago
- Generative adversarial networks for Network Intrusion Benchmark datasets☆35Updated 11 months ago
- This is the source code of "Intrusion Detection of Industrial Internet-of-Things Based on Reconstructed Graph Neural Networks"☆11Updated last year
- The proposed hybrid IDS is tested on two public network datasets, the CSE-CIC-IDS2018 and the TON IoT datasets, representing internal and…☆13Updated 3 years ago
- CANTransfer: Transfer learning based intrusion detection on a controller area network using convolutional LSTM network☆13Updated 4 years ago
- ☆15Updated 2 years ago