Codes for the paper entitled "Optimization of Predictive Performance of Intrusion Detection System Using Hybrid Ensemble Model for Secure Systems"
☆19May 29, 2023Updated 3 years ago
Alternatives and similar repositories for network_intrusion_detection
Users that are interested in network_intrusion_detection are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Network System Intrusion Detection using Graph Neural Networks☆22Aug 1, 2023Updated 3 years ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆18Apr 18, 2023Updated 3 years ago
- Journal Article: IEEE Access☆20Oct 23, 2023Updated 2 years ago
- Federated Learning in Network Intrusion Detection☆15Feb 22, 2023Updated 3 years ago
- ☆17Apr 1, 2025Updated last year
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Replication of Jay Sinha's Efficient Deep CNN-BiLSTM model for network intrusion detection using NSL-KDD and UNSW-NB15 datasets to unders…☆18Aug 25, 2024Updated last year
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆29Sep 10, 2024Updated last year
- Reproduce the code of papers related to the field of NIDS(network intrusion detection system).☆28Apr 30, 2021Updated 5 years ago
- En este proyecto se evalúan y comparan diferentes técnicas de aprendizaje automático para la detección de intrusiones en red.☆28Nov 1, 2022Updated 3 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Sep 14, 2020Updated 5 years ago
- Download UNSW-NB15 and CIC-IDS2017 Datasets for Network Intrusion Detection (NIDS)☆33Aug 2, 2023Updated 3 years ago
- A Recurrent Neural Networks implementation using Keras for network intrusion detection☆30Jun 14, 2021Updated 5 years ago
- ☆26Aug 7, 2023Updated 3 years ago
- A Few-shot Based Model-Agnostic Meta-Learning for Intrusion Detection in Security of Internet of Things☆20Jan 7, 2026Updated 7 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆38Mar 3, 2023Updated 3 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆13Jun 25, 2022Updated 4 years ago
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆207Sep 8, 2021Updated 4 years ago
- ☆13Oct 19, 2022Updated 3 years ago
- ⼀个有潜⼒的⽹络⼊侵检测算法，引⼊了乘法注意⼒机制将其融合到 CNN 的分类模型中，在KDD99和UNSM-NB15数据集进行模型的训练结果优于一般机器学习方法和CNN。A promising network intrusion detection algorithm is…☆13Mar 5, 2024Updated 2 years ago
- Autoencoder approach to detect attacks/intrusions in a network☆10Mar 25, 2023Updated 3 years ago
- A disentangled intrusion detection method to handle various intrusion detection scenarios, e.g. known attacks, unknown attacks, and few-s…☆25May 26, 2026Updated 2 months ago
- The source code of paper "Dynamic Ensemble Selection for Imbalanced Data Streams with Concept Drift"☆12May 7, 2023Updated 3 years ago
- ROSE: Robust Online Self-Adjusting Ensemble for Continual Learning from Imbalanced Drifting Data Streams☆10Jun 24, 2024Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Implementation of Research Paper titled: An explainable AI based Intrusion Detection System for DNS over HTTPS (DoH) Attacks on CICIDS da…☆11Jul 11, 2023Updated 3 years ago
- Hybrid approach combining LSTM and Graph Convolutional Networks (GCN) for real-time anomaly detection in dynamic computer network data.☆11Jun 14, 2025Updated last year
- Code for the paper: "Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection" (Infocom 2025)☆30Aug 28, 2025Updated 11 months ago
- ☆48Aug 7, 2022Updated 4 years ago
- GNN4ID: A Toolset for Crafting Graph Neural Network-Based NIDS Datasets☆32Feb 23, 2026Updated 5 months ago
- Anomaly IDS using a one-class autoencoder.☆11Oct 31, 2019Updated 6 years ago
- This repository contains the official implementation of the paper entitled with "FedAPEN: Personalized Cross-silo Federated Learning with…☆14Dec 4, 2023Updated 2 years ago
- Network Intrusion Detection System(Abnormal Detection)☆11Jun 14, 2020Updated 6 years ago
- Using Wasserstein Generative Adversarial Network to fool intrusion detection systems (IDS) into believing that malicious traffic is norma…☆81May 25, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- the source code of the paper named as: Solar Irradiance forecasting using dynamic ensemble selection☆14Mar 24, 2022Updated 4 years ago
- Federated Learning for Intrusion Detection System using the Flower framework and UNSW_NB15 dataset.☆35Jan 13, 2024Updated 2 years ago
- PyTorch implementation of Fast-Convergent Federated Learning via Cyclic Aggregation, including FedAvg, FedProx, MOON, and FedRS☆15Jun 28, 2023Updated 3 years ago
- A Graph Neural Network-based Intrusion Detection System☆38Aug 12, 2024Updated 2 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆42Jun 15, 2020Updated 6 years ago
- Deep Learning based Intrusion Detection on NSL-KDD Dataset☆14Aug 24, 2019Updated 6 years ago
- Code for "Lightweight Blockchain-Empowered Secure and Efficient Federated Edge Learning", IEEE Transactions on Computers☆13Mar 12, 2026Updated 5 months ago