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
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Sep 14, 2020Updated 5 years ago
- 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
- 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
- Machine Learning with the NSL-KDD dataset for Network Intrusion Detection☆273Apr 5, 2020Updated 6 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.
- Machine Learning Algorithms on NSL-KDD dataset☆97May 30, 2019Updated 7 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
- I have tried some of the machine learning and deep learning algorithm for IDS 2017 dataset. The link for the dataset is here: http://www.…☆40Sep 27, 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
- Intrusion detection system using CNN and RNN☆27Sep 23, 2019Updated 6 years ago
- A research project of anomaly detection on dataset IoT-23☆111Feb 22, 2026Updated 3 months ago
- VGG-19 deep learning model trained using ISCX 2012 IDS Dataset☆145Jan 5, 2019Updated 7 years ago
- Python implementation of MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams☆38Jun 22, 2022Updated 3 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.
- A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".☆39May 5, 2017Updated 9 years ago
- 基于snort、barnyard2和base网络入侵检测系统的部署与应用☆11Feb 23, 2022Updated 4 years ago
- CNN-LSTM-attention☆10Jan 6, 2021Updated 5 years ago
- SMOTE-BD: A distributed Synthetic Minority Oversampling Technique (SMOTE) for Big Data.☆10Apr 1, 2019Updated 7 years ago
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆39Aug 8, 2020Updated 5 years ago
- DuBE: Duple-balanced Ensemble Learning from Skewed Data☆10Oct 31, 2022Updated 3 years ago
- Autoencoder approach to detect attacks/intrusions in a network☆10Mar 25, 2023Updated 3 years ago
- Notebooks exploring the Canadian Institute of Cybersecurity's IoT dataset.☆11Mar 6, 2024Updated 2 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
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆207Apr 20, 2026Updated last month
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆77Oct 20, 2020Updated 5 years ago
- Comparing Anomaly-Based Network Intrusion Detection Approaches Under Practical Aspects☆11Mar 25, 2023Updated 3 years ago
- Next–Generation Intrusion Detection for IoT EVCS: Integrating CNN, LSTM, and GRU Models☆19Feb 19, 2025Updated last year
- Network data classifier based on the recurrent neural network.☆20Apr 3, 2019Updated 7 years ago
- Multivariate clustering of weather data. This is part of my research internship.☆13Jul 12, 2021Updated 4 years ago
- Fuzzers implemented with libafl to evaluate several techniques on fuzzbench☆12Oct 10, 2024Updated last year
- 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…☆297Dec 22, 2023Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- A deep learning based intrusion detection system using CSE-CIC-IDS2018 dataset.☆13Apr 16, 2020Updated 6 years ago
- the state-of-the-art repo for time_series_anomaly_detection_classification_clustering☆15Aug 16, 2018Updated 7 years ago
- One critical issue within network security refers to intrusion detection. The nature of intrusion attempts appears to be nonlinear, where…☆10Sep 29, 2022Updated 3 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…☆14May 18, 2022Updated 4 years ago
- This gym environment simulates network intrusion similar to that described in the NSL-KDD Dataset given in this link http://www.unb.ca/ci…☆14Feb 15, 2018Updated 8 years ago
- Deep learning models for network intrusion detection☆40Mar 24, 2023Updated 3 years ago
- A Simple python script for detection Potential DDoS Attacks☆13Feb 6, 2023Updated 3 years ago