This clustering based anomaly detection project implements unsupervised clustering algorithms on the NSL-KDD and IDS 2017 datasets
☆58Dec 5, 2019Updated 6 years ago
Alternatives and similar repositories for clustering-based-anomaly-detection
Users that are interested in clustering-based-anomaly-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:
- Deep Learning based Intrusion Detection on NSL-KDD Dataset☆14Aug 24, 2019Updated 6 years ago
- deep learning applied to Network Intrusion Detection with NSL-KDD data☆16Feb 3, 2018Updated 8 years ago
- Using NSL_KDD data☆29Mar 3, 2019Updated 7 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Sep 14, 2020Updated 5 years ago
- 机器学习作业,机器学习和深度学习方法实现入侵检测☆36Apr 19, 2022Updated 4 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.
- Machine Learning with the NSL-KDD dataset for Network Intrusion Detection☆273Apr 5, 2020Updated 6 years ago
- Machine Learning Algorithms on NSL-KDD dataset☆97May 30, 2019Updated 6 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆13Aug 16, 2020Updated 5 years ago
- Based on the CICIDS2017 dataset and Pytorch platform☆30May 8, 2019Updated 7 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆90Dec 27, 2023Updated 2 years ago
- PySpark solution to the NSL-KDD dataset: https://www.unb.ca/cic/datasets/nsl.html☆130Sep 8, 2020Updated 5 years ago
- Pre-processing NSL-KDD dataset using Data mining techniques. Algorithm written in python to detect the attacks in NSL KDD dataset.☆27Jan 6, 2020Updated 6 years ago
- IoT intrusion Detection Model based on neural network and random forests☆50Oct 16, 2018Updated 7 years ago
- Artifacts of the USENIX Security 2022 paper "Spoki: Unveiling a New Wave of Scanners through a Reactive Network Telescope"☆18Dec 8, 2024Updated last year
- 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 CNN and RNN☆26Sep 23, 2019Updated 6 years ago
- A research project of anomaly detection on dataset IoT-23☆111Feb 22, 2026Updated 2 months ago
- VGG-19 deep learning model trained using ISCX 2012 IDS Dataset☆146Jan 5, 2019Updated 7 years ago
- GWO☆12Nov 16, 2019Updated 6 years ago
- operating system: win10; environment: anaconda + keras2(theano) + other up-to-date modules; some chinese annotations are alse added in th…☆13May 23, 2018Updated 7 years ago
- Thesis research on enhancing Network Intrusion Detection System (NIDS) explainability using Transformers.☆18Sep 11, 2023Updated 2 years ago
- CNN-LSTM-attention☆10Jan 6, 2021Updated 5 years ago
- ☆11May 1, 2021Updated 5 years ago
- DuBE: Duple-balanced Ensemble Learning from Skewed Data☆10Oct 31, 2022Updated 3 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.
- 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
- Notebooks exploring the Canadian Institute of Cybersecurity's IoT dataset.☆11Mar 6, 2024Updated 2 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆77Oct 20, 2020Updated 5 years ago
- Code and data release for CCS'2022 paper "Understanding IoT Security from a Market-Scale Perspective"☆12Apr 13, 2023Updated 3 years ago
- ☆10Oct 22, 2018Updated 7 years ago
- Comparing Anomaly-Based Network Intrusion Detection Approaches Under Practical Aspects☆11Mar 25, 2023Updated 3 years ago
- Artifacts for our RAID 2023 paper, "Xunpack: Cross-Architecture Unpacking for Linux IoT Malware"☆15Oct 12, 2023Updated 2 years ago
- Next–Generation Intrusion Detection for IoT EVCS: Integrating CNN, LSTM, and GRU Models☆18Feb 19, 2025Updated last year
- Network data classifier based on the recurrent neural network.☆20Apr 3, 2019Updated 7 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Welcome this is a comprehensive repository dedicated to advancing Network Intrusion Detection Systems (NIDS) through the power of Machine…☆62Oct 31, 2025Updated 6 months ago
- Multivariate clustering of weather data. This is part of my research internship.☆13Jul 12, 2021Updated 4 years ago
- The source code of paper "Dynamic Ensemble Selection for Imbalanced Data Streams with Concept Drift"☆12May 7, 2023Updated 3 years ago
- Anomaly IDS using a one-class autoencoder.☆11Oct 31, 2019Updated 6 years ago
- This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Sec…☆298Dec 22, 2023Updated 2 years ago
- A deep learning based intrusion detection system using CSE-CIC-IDS2018 dataset.☆13Apr 16, 2020Updated 6 years ago
- The proposed hybrid IDS is tested on two public network datasets, the CSE-CIC-IDS2018 and the TON IoT datasets, representing internal and…☆15May 18, 2022Updated 3 years ago