A Python-based project for network intrusion detection using various deep learning models (LSTM, GRU, CNN-LSTM, BiLSTM). It includes data preprocessing, time-series transformation, and model evaluation tools.
☆10Nov 11, 2024Updated last year
Alternatives and similar repositories for IntrusionDetectionModels
Users that are interested in IntrusionDetectionModels are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 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 2 years ago
- [CAC2023] Bilateral Network with Residual U-blocks and Dual-Guided Attention for Real-time Semantic Segmentation☆11Nov 28, 2024Updated last year
- Intrusion Detection System, IDS，Cyberattack Detection，Pytorch，Transformer☆11Oct 17, 2022Updated 4 years ago
- 基于联邦学习和深度残差网络的sdn入侵检测研究☆18Jun 17, 2024Updated 2 years ago
- Integrating CNN-LSTM Networks with Statistical Filtering Techniques for Optimizing IoT Intrusion Detection☆15Aug 28, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Network System Intrusion Detection using Graph Neural Networks☆23Aug 1, 2023Updated 3 years ago
- Code for the paper: "AOC-IDS: Autonomous Online Framework with Contrastive Learning for Intrusion Detection" (Infocom 2024)☆45Dec 6, 2024Updated last year
- Towards an Explainable Artificial Intelligence Framework for Enhancing Explainability in Network Intrusion Detection Systems☆26Nov 30, 2024Updated last year
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆18Apr 18, 2023Updated 3 years ago
- GNN4ID: A Toolset for Crafting Graph Neural Network-Based NIDS Datasets☆32Feb 23, 2026Updated 8 months ago
- Modern Deep Network Toolkits for Tensorflow-Keras. This is a extension for newest tensorflow 1.x.☆13Aug 30, 2020Updated 6 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆39Apr 21, 2023Updated 3 years ago
- Code for the paper: "Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection" (Infocom 2025)☆31Aug 28, 2025Updated last year
- Various small Java programs☆12May 13, 2019Updated 7 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- An Attentive Graph Agent for Topology-Adaptive Cyber Defence☆11Jan 12, 2026Updated 9 months ago
- Federated Learning for Intrusion Detection System using the Flower framework and UNSW_NB15 dataset.☆35Jan 13, 2024Updated 2 years ago
- A Graph Neural Network-based Intrusion Detection System☆36Aug 12, 2024Updated 2 years ago
- Hyperparameter Optimization for 1D-CNN-Based Network Intrusion Detection Using GA and PSO☆17Feb 19, 2025Updated last year
- ☆36Jul 4, 2026Updated 3 months ago
- The Unified Multimodal NIDS Dataset Tool performs the standardization of network intrusion detection datasets by extracting comprehensive…☆16Jan 22, 2025Updated last year
- The goal of this repository is to help introductory programming students understand objects, inheritance, polymorphism and compiling java…☆33Apr 1, 2022Updated 4 years ago
- ☆10Apr 7, 2025Updated last year
- 在当前的数字时代，随着网络攻击日益复杂和频繁，网络安全成为了保障信息安全的重中之重。尤其是在网络入侵检测领域，传统的基于规则的检测方法已经难以应对日新月异的攻击技术。因此，利用深度学习技术进行网络入侵检测成为了研究的新趋势。本项目旨在开发一种基于卷积神经网络（CNN）和Tr…☆38Apr 7, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- 逐段引导技术简历写作、事实核验、岗位定位与最终 PDF 制作的 Codex Skill☆28Jul 18, 2026Updated 3 months ago
- Effective Intrusion Detection in Heterogeneous Internet-of-Things Networks via Ensemble Knowledge Distillation-based Federated Learning☆11Nov 27, 2023Updated 2 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
- ☆23Aug 7, 2025Updated last year
- ☆48Aug 7, 2022Updated 4 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆125Oct 25, 2022Updated 4 years ago
- Datasets for cybersecurity☆19Aug 12, 2025Updated last year
- A Real-Time Network Intrusion Detection System based on Transformer-LSTM model (Major Project)☆16May 27, 2024Updated 2 years ago
- 个人笔记☆18Apr 1, 2022Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Epilepsy Prediction with CNN-BiLSTM | BSc dissertation project☆24Jan 13, 2023Updated 3 years ago
- This is the source code of "Intrusion Detection of Industrial Internet-of-Things Based on Reconstructed Graph Neural Networks"☆12Jan 19, 2024Updated 2 years ago
- Training of a simple Neural Network model as an Intrusion Detection System for Cybersecurity defense using Federated Learning with the Fl…☆16Apr 29, 2024Updated 2 years ago
- 逐行解释的pytorch自编码器实现，使用MNIST数据集进行训练，保证代码简单。☆20Feb 9, 2024Updated 2 years ago
- Next–Generation Intrusion Detection for IoT EVCS: Integrating CNN, LSTM, and GRU Models☆18Feb 19, 2025Updated last year
- pytorch 使用AlexNet 实现猫狗二分类☆18May 26, 2022Updated 4 years ago
- NILM (Non-intrusive Load Monitoring) 实验代码与结果 本仓库包含使用深度学习模型（LSTM、RNN 和 MultiHead Transformer）进行非侵入式负荷检测的代码和实验结果。NILM 技术用于从总负荷数据中提取各个电器的用电信…☆20Oct 21, 2024Updated 2 years ago