Real-time Intrusion Detection System implementing Machine Learning. We combine Supervised Learning (RF) for detecting known attacks from CICIDS 2018 & SCVIC-APT datasets, and Unsupervised Learning (AE) for anomaly detection.
☆86Jun 9, 2025Updated last year
Alternatives and similar repositories for Real-time-IDS
Users that are interested in Real-time-IDS are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implement a VAE to learn a reduced state space representation from the NSL-KDD dataset, capturing essential features of normal network t…☆14Feb 15, 2024Updated 2 years ago
- This repository consists of python codes that performs attack classification based on the KDD and CIDDS dataset using CNN, LSTM-RNN and H…☆23Jun 26, 2023Updated 3 years ago
- Intrusion Detection System, IDS,Cyberattack Detection,Pytorch,Transformer☆11Oct 17, 2022Updated 3 years ago
- The application of using ML in intrusion detection has mostly been limited to research work and showing results on the formally used kdd9…☆11Oct 13, 2020Updated 5 years ago
- Welcome this is a comprehensive repository dedicated to advancing Network Intrusion Detection Systems (NIDS) through the power of Machine…☆64Oct 31, 2025Updated 9 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Machine-learning-based intrusion detection☆39Jul 13, 2018Updated 8 years ago
- Deep learning models for network intrusion detection☆40Mar 24, 2023Updated 3 years ago
- This repository contains an in-depth analysis of the Intrusion Detection Evaluation Dataset (CIC-IDS2017) for Intrusion Detection, showca…☆136Oct 19, 2023Updated 2 years ago
- Federated Learning for Intrusion Detection System using the Flower framework and UNSW_NB15 dataset.☆35Jan 13, 2024Updated 2 years ago
- Journal Article: Telematics and Informatics Reports☆15Jun 18, 2023Updated 3 years ago
- Computers & Security☆22Oct 31, 2025Updated 9 months ago
- Network Intrusion Detection System☆65Mar 11, 2026Updated 5 months ago
- Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGB…☆594Apr 1, 2026Updated 4 months ago
- Intrusion Detection System - IDS example using Dense, Conv1d and Lstm layers in Keras / TensorFlow☆26Apr 28, 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.
- Deep learning based Intrusion Detection System☆34Apr 26, 2020Updated 6 years ago
- implement IDS using deep learning☆13May 24, 2019Updated 7 years ago
- 联邦学习预测节点流量☆13Dec 5, 2020Updated 5 years ago
- Network Intrusion Detection System Project using Machine Learning with code and Documents☆117Aug 12, 2022Updated 4 years ago
- Network Intrusion Detection System using Deep Learning Techniques☆178Dec 15, 2019Updated 6 years ago
- GAN / AUTOENCODER for network intrusion detection using NSL-KDD dataset: https://www.kaggle.com/datasets/hassan06/nslkdd☆19Apr 25, 2023Updated 3 years ago
- Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN w…☆55Aug 10, 2023Updated 3 years ago
- Position and velocity PID control of a DC motor using LabView and Arduino☆15Apr 23, 2018Updated 8 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆42Jun 15, 2020Updated 6 years 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.
- 🕵️ IDS with accuracy rates of 94.4% for misuse detection and 99.0% for anomaly detection☆15Dec 30, 2023Updated 2 years ago
- Anomaly detection in network traffic and event logs using deep learning (w/ Pytorch)☆73Mar 22, 2019Updated 7 years ago
- Improved Autoencoder-based Ensemble In-vehicle Intrusion Detection System☆13Oct 3, 2023Updated 2 years ago
- Network Intrusion Detection System on CSE-CIC-IDS2018 using ML classifiers and DNN ( ANN , CNN , RNN ) | Hyper-parameter Optimization { l…☆21Oct 16, 2021Updated 4 years ago
- ☆12Jun 1, 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
- Deep Model Intrusion Detection (IDS) Evaluation of NSL KDD and CIC IDS 2018 datasets.☆17May 10, 2023Updated 3 years ago
- A tool for deriving statistical features from PCAP data☆13Nov 21, 2019Updated 6 years ago
- Cervical cancer is the second most common type of cancer that is found in the women worldwide. Generally, cancer caused due to irregular …☆10Mar 24, 2019Updated 7 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.
- Hybrid approach combining LSTM and Graph Convolutional Networks (GCN) for real-time anomaly detection in dynamic computer network data.☆11Jun 14, 2025Updated last year
- 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
- Anomaly IDS using a one-class autoencoder.☆11Oct 31, 2019Updated 6 years ago
- This approach of Intrusion Detection uses two GPT models, which are trained on normal network traffic, to predict sequences of communicat…☆11Oct 3, 2023Updated 2 years ago
- Application of novel EC-GAN method on Network Intrusion Detection☆25Dec 24, 2021Updated 4 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
- Evolutionary decision trees☆11Jun 16, 2025Updated last year