Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities
☆227Apr 25, 2024Updated 2 years ago
Alternatives and similar repositories for cyber-security
Users that are interested in cyber-security 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 Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15☆772May 8, 2019Updated 7 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆13Aug 16, 2020Updated 5 years ago
- A machine learning based Intrusion Detection System☆173Dec 11, 2019Updated 6 years ago
- Machine Learning with the NSL-KDD dataset for Network Intrusion Detection☆273Apr 5, 2020Updated 6 years ago
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆205Sep 8, 2021Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Intrusion Detection System using Machine Learning and Deep Learning☆88Dec 27, 2023Updated 2 years ago
- Feature coded UNSW_NB15 intrusion detection data.☆89Jan 24, 2018Updated 8 years ago
- An Intelligent Intrusion Detection System for IoT networks using Gated Recurrent Neural Networks (GRU) : A Deep Learning Approach☆33Jul 16, 2018Updated 7 years ago
- This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Sec…☆297Dec 22, 2023Updated 2 years ago
- Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGB…☆592Apr 1, 2026Updated 2 months ago
- Machine Learning Algorithms on NSL-KDD dataset☆97May 30, 2019Updated 7 years ago
- Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm☆92Sep 19, 2020Updated 5 years ago
- deep learning applied to Network Intrusion Detection with NSL-KDD data☆16Feb 3, 2018Updated 8 years ago
- ☆16Jan 5, 2017Updated 9 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Sep 14, 2020Updated 5 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Apr 9, 2020Updated 6 years ago
- Network intrusions classification using algorithms such as Support Vector Machine (SVM), Decision Tree, Naive Baye, K-Nearest Neighbor (K…☆102Sep 27, 2017Updated 8 years ago
- 这是一个封装了KDDCup99、NSL-KDD、UNSW-NB15等入侵监测数据集的Python包。☆52Aug 10, 2020Updated 5 years ago
- Network Security Analysis using Machine Learning on the NSL-KDD dataset from the KDD Cup 1999☆21Nov 3, 2019Updated 6 years ago
- Network Intrusion Detection System using Deep Learning Techniques☆176Dec 15, 2019Updated 6 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆49Jun 13, 2024Updated 2 years ago
- Deep learning models for network intrusion detection☆40Mar 24, 2023Updated 3 years ago
- Adversarial Machine Learning applications on network-based Intrusion Detection System (IDS).☆28May 8, 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.
- Two staged IDS specific to IoT networks where Signature based IDS and Anomaly based IDS which is trained and classified using machine lea…☆46Jun 3, 2019Updated 7 years ago
- Comparing Anomaly-Based Network Intrusion Detection Approaches Under Practical Aspects☆11Mar 25, 2023Updated 3 years ago
- Hands-On Machine Learning for Cybersecurity, published by Packt☆205Jan 18, 2023Updated 3 years ago
- Using RL for anomaly detection in NSL-KDD☆124Mar 25, 2023Updated 3 years ago
- In this work, we aim at developing a NIDS (Network Intrusion Detection System) that detects attacks targeting SCADA systems, in a concret…☆74Mar 25, 2023Updated 3 years ago
- ☆15Mar 24, 2023Updated 3 years ago
- Network Intrusion Detection System(Abnormal Detection)☆11Jun 14, 2020Updated 6 years ago
- A Pytorch implementation of a proof-of-concept Intrusion Detection and Prevention system☆11Oct 1, 2019Updated 6 years ago
- This is a five-step framework for the development of intrusion detection systems (IDS) using machine learning (ML) considering model real…☆59Dec 30, 2025Updated 5 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Due to the increasingly development of network technology recently, there are various cyber-attacks posed the huge threats to different …☆30Oct 30, 2018Updated 7 years ago
- Autoencoder approach to detect attacks/intrusions in a network☆10Mar 25, 2023Updated 3 years ago
- PySpark solution to the NSL-KDD dataset: https://www.unb.ca/cic/datasets/nsl.html☆130Sep 8, 2020Updated 5 years ago
- ☆43Dec 26, 2020Updated 5 years ago
- A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach☆150Oct 12, 2021Updated 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…☆14Feb 15, 2024Updated 2 years ago
- Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN w…☆54Aug 10, 2023Updated 2 years ago