IoT intrusion Detection Model based on neural network and random forests
☆50Oct 16, 2018Updated 7 years ago
Alternatives and similar repositories for IDS-UNSW-NB15
Users that are interested in IDS-UNSW-NB15 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 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
- Assess various ML algorithms on KDD99 network dataset then apply the best algorithm (Random Forest) using R.☆10Apr 4, 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 8 years ago
- Machine Learning with the NSL-KDD dataset for Network Intrusion Detection☆273Apr 5, 2020Updated 6 years ago
- Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15☆774May 8, 2019Updated 7 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.
- This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the stu…☆31Feb 20, 2019Updated 7 years ago
- This implementation for the paper: Learning Neural Representations for Network Anomaly Detection. If you have questions, please do not he…☆18Aug 20, 2019Updated 7 years ago
- Final Year project based upon Network Intrusion Detection System☆38Jul 10, 2019Updated 7 years ago
- The given information of network connection, model predicts if connection has some intrusion or not. Binary classification for good and b…☆11Aug 10, 2019Updated 7 years ago
- Attention Model for Network Intrusion Detection☆19Jul 24, 2019Updated 7 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…☆47Jun 3, 2019Updated 7 years ago
- deep learning applied to Network Intrusion Detection with NSL-KDD data☆16Feb 3, 2018Updated 8 years ago
- A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach☆149Oct 12, 2021Updated 4 years ago
- This clustering based anomaly detection project implements unsupervised clustering algorithms on the NSL-KDD and IDS 2017 datasets☆58Dec 5, 2019Updated 6 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.
- Designed and developed an anomaly and misuse based intrusion detection system using neural networks. Technologies used: Java Weka and R.…☆29May 20, 2015Updated 11 years ago
- Analysis and preprocessing of the kdd cup 99 dataset using python and scikit-learn☆22Mar 11, 2020Updated 6 years ago
- Intrusion Detection System (IDS) for Wireless Sensor Networks (WSN)☆19Apr 5, 2013Updated 13 years ago
- AEIDS is a prototype of anomaly-based intrusion detection system which works by remembering the pattern of legitimate network traffic usi…☆14Mar 18, 2020Updated 6 years ago
- Comparing Anomaly-Based Network Intrusion Detection Approaches Under Practical Aspects☆11Mar 25, 2023Updated 3 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆49May 17, 2020Updated 6 years ago
- ☆21Sep 21, 2020Updated 5 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆48Jun 13, 2024Updated 2 years ago
- 使用贝叶斯、神经网络、KNN进行入侵检测（KDD-CUP99）☆81Jul 1, 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.
- Application of novel EC-GAN method on Network Intrusion Detection☆25Dec 24, 2021Updated 4 years ago
- Web Application Firewall Benchmark☆12May 14, 2022Updated 4 years ago
- This repository contains the dataset of the paper ARGUS: Context-Based Detection of Stealthy IoT Infiltration Attacks☆14Apr 28, 2023Updated 3 years ago
- Implemented a network intrusion detection system for a software defined network using Random Forest method for classification of port and…☆24Nov 30, 2018Updated 7 years ago
- Malware - Machine Learning☆11Mar 24, 2018Updated 8 years ago
- Built and trained a deep neural network to classify traffic signs using Tensorflow☆37Feb 28, 2017Updated 9 years ago
- Notebooks exploring the Canadian Institute of Cybersecurity's IoT dataset.☆11Mar 6, 2024Updated 2 years ago
- Machine learning for malware detection☆11Aug 2, 2016Updated 10 years ago
- NSLKDD Dataset for WEKA☆35Mar 2, 2018Updated 8 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.
- My codes☆25Jun 4, 2017Updated 9 years ago
- A project using Django, sklearn and pandas to detect anomalies in network traffic using machine learning☆46Jun 13, 2022Updated 4 years ago
- learn to allocate wireless resources with GNN in over-the-air FL system☆10Jun 4, 2023Updated 3 years ago
- Object detection and classification☆12Oct 19, 2018Updated 7 years ago
- SIGIR 2022: Privacy-Preserving Synthetic Data Generation for Recommendation Systems☆10Nov 17, 2022Updated 3 years ago
- Deep learning models for network intrusion detection☆40Mar 24, 2023Updated 3 years ago
- All exercises from private AI Facebook Scholarship☆13Jul 21, 2019Updated 7 years ago