ahmedyounis1st / IDS-Feature-Selection-based-on-GWO-algorithmLinks
One critical issue within network security refers to intrusion detection. The nature of intrusion attempts appears to be nonlinear, wherein the network traffic performance is unpredictable, and the problematic space features are numerous. These make intrusion detection systems (IDSs) a challenge within the research arena. Hence, selecting the es…
☆8Updated 2 years ago
Alternatives and similar repositories for IDS-Feature-Selection-based-on-GWO-algorithm
Users that are interested in IDS-Feature-Selection-based-on-GWO-algorithm are comparing it to the libraries listed below
Sorting:
- ☆9Updated 2 years ago
- Application of novel EC-GAN method on Network Intrusion Detection☆21Updated 3 years ago
- This repository presents the implemetation of a highly optimized Deep Transfer Learning (DTL) and Genetic Algorithm (GA) based intrusion …☆16Updated last year
- ☆11Updated 3 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆13Updated 3 years ago
- Implementation of "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"☆13Updated 3 years ago
- Network Intrusion Detection System on CSE-CIC-IDS2018 using ML classifiers and DNN ( ANN , CNN , RNN ) | Hyper-parameter Optimization { l…☆23Updated 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
- Generative adversarial networks for Network Intrusion Benchmark datasets☆36Updated last year
- An Intrusion Detection System based on Deep Belief Networks☆84Updated 2 years ago
- PyTorch implementation of the paper "Privacy-preserving Few-shot Traffic Detection against Advanced Persistent Threats via Federated Meta…☆18Updated last year
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆18Updated 2 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 4 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
- GAN / AUTOENCODER for network intrusion detection using NSL-KDD dataset: https://www.kaggle.com/datasets/hassan06/nslkdd☆18Updated 2 years ago
- Towards an Explainable Artificial Intelligence Framework for Enhancing Explainability in Network Intrusion Detection Systems☆16Updated 8 months ago
- ☆15Updated 3 years ago
- Attention Model for Network Intrusion Detection☆17Updated 6 years ago
- ☆20Updated 6 months ago
- ☆13Updated last year
- ☆24Updated 6 years ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆33Updated 2 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆46Updated 5 years ago
- This repository is a proof of concept of algorithms described in T-DFNN: An Incremental Learning Algorithm for Intrusion Detection System…☆16Updated 2 years ago
- Correlation Aware DDoS Detection In IoT Systems☆9Updated last year
- ☆17Updated last year
- CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level☆17Updated last month
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆46Updated 2 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- FedMSE: Semi-supervised federated learning approach for IoT network intrusion detection☆20Updated 4 months ago