Apply modern, deep learning techniques for anomaly detection to identify network intrusions.
☆52Mar 12, 2026Updated 5 months ago
Alternatives and similar repositories for CML_AMP_Anomaly_Detection
Users that are interested in CML_AMP_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:
- An Intrusion Detection System based on Deep Belief Networks☆93Oct 27, 2022Updated 3 years ago
- Integrating CNN-LSTM Networks with Statistical Filtering Techniques for Optimizing IoT Intrusion Detection☆15Aug 28, 2024Updated last year
- This study proposes a two- level classification technique for the anomaly detection-based IDS architecture for fog-edge sides. Targeted f…☆15Dec 11, 2022Updated 3 years ago
- ☆54Nov 11, 2021Updated 4 years ago
- ☆15Jul 15, 2022Updated 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.
- 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
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆42Jun 15, 2020Updated 6 years ago
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆207Sep 8, 2021Updated 4 years ago
- Machine Learning and Deep Learning models for Anomaly Detection☆11Mar 10, 2019Updated 7 years ago
- NSL-KDD (for network-based intrusion detection systems (IDS)) is a dataset suggested to solve some of the inherent problems of the parent…☆12Feb 11, 2022Updated 4 years ago
- This project is created to show how machine learning can be used to detect anomalies in network traffic.☆55Sep 26, 2020Updated 5 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆125Oct 25, 2022Updated 3 years ago
- Open source malware detection program using machine learning algorithms on system call traces.☆21Jan 3, 2018Updated 8 years ago
- ☆17May 9, 2024Updated 2 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.
- 国家电网设备管理系统 于2015年10月通过视频自学做完的这个项目☆12Jan 6, 2017Updated 9 years ago
- 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
- A PyTorch implementation of of E-GraphSAGE.☆108Jun 30, 2022Updated 4 years ago
- Fast API Endpoint!. This project examines, analyses the malware statically & dynamically using conventional strategies and also apply mac…☆10Apr 10, 2023Updated 3 years ago
- The model uses the AE-GAN (Autoencoder Generative Adversarial Network) architecture for generating upsampled images. The model is trained…☆13May 25, 2020Updated 6 years ago
- Hybrid approach combining LSTM and Graph Convolutional Networks (GCN) for real-time anomaly detection in dynamic computer network data.☆11Jun 14, 2025Updated last year
- 基于网络探测和交换机探测网络，管理IP资产☆13Oct 29, 2020Updated 5 years ago
- Hybrid Malicious Code Detection using Deep Learning with Keras and Scikit Learn☆11May 2, 2018Updated 8 years ago
- Development of a transfer learning system for the detection of cyber-attacks in 5G and IoT networks. Transfer learning will improve the a…☆16Jul 20, 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.
- Official implementation of TISDiSS, a scalable framework for discriminative source separation.☆16Jul 31, 2026Updated 2 weeks ago
- Estimating largest Lyapunov exponent of time series data using the method of Wolf et al.☆10Jun 21, 2023Updated 3 years ago
- A Graph Neural Network-based Intrusion Detection System☆38Aug 12, 2024Updated 2 years ago
- ☆11Nov 26, 2019Updated 6 years ago
- Code Repository for Paper "HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks"☆16Sep 24, 2023Updated 2 years ago
- Extract Features from suspected DNS Tunneling traffic☆12Oct 12, 2016Updated 9 years ago
- The Domain Name System is a fundamental component of the internet since it maps the easy-to-remember domain names to IP addresses. Theref…☆16Oct 2, 2020Updated 5 years ago
- ☆10Jan 4, 2024Updated 2 years ago
- Rosbot is an open source voice dialogue robot project, which aims to enable ROS developers to quickly create personalized virtual assista…☆21Jan 22, 2021Updated 5 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.
- A Real-Time Network Intrusion Detection System based on Transformer-LSTM model (Major Project)☆16May 27, 2024Updated 2 years ago
- AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.☆39Apr 7, 2020Updated 6 years ago
- We use attention model for intrusion detection. The idea of Hierarchical Attention Model for Intrusion Detection comes from the applicat…☆12Jul 4, 2020Updated 6 years ago
- ☆19Apr 10, 2025Updated last year
- Euclid: A Fully In-Network, P4-based Approach for Real-Time DDoS Attack Detection and Mitigation☆14Nov 22, 2021Updated 4 years ago
- Flutter Cell Info Plugin☆13Jun 25, 2026Updated last month
- Intrusion Detection System, IDS，Cyberattack Detection，Pytorch，Transformer☆11Oct 17, 2022Updated 3 years ago