Network Intrusion Detection System(Abnormal Detection)
☆11Jun 14, 2020Updated 6 years ago
Alternatives and similar repositories for AE-IDS
Users that are interested in AE-IDS are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Autoencoder approach to detect attacks/intrusions in a network☆10Mar 25, 2023Updated 3 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Aug 16, 2020Updated 6 years ago
- Distributed intelligent malicious traffic detection system based on GAN☆18Apr 8, 2020Updated 6 years ago
- Deep learning models for network intrusion detection☆40Mar 24, 2023Updated 3 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆77Oct 20, 2020Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Machine Learning Algorithms on NSL-KDD dataset☆98May 30, 2019Updated 7 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆50May 17, 2020Updated 6 years ago
- ☆19Feb 17, 2021Updated 5 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
- Implementation of novel oversampling algorithms.☆34Oct 20, 2025Updated last year
- The source code of paper "Dynamic Ensemble Selection for Imbalanced Data Streams with Concept Drift"☆12May 7, 2023Updated 3 years ago
- SMOTE-BD: A distributed Synthetic Minority Oversampling Technique (SMOTE) for Big Data.☆10Apr 1, 2019Updated 7 years ago
- 此仓库代码为本人参加的CCF-BDCI-2022 赛道：Web攻击检测与分类识别 (多分类任务)，比赛rank-23。队员：Furen Xu☆16Feb 6, 2023Updated 3 years ago
- DuBE: Duple-balanced Ensemble Learning from Skewed Data☆10Oct 31, 2022Updated 4 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm☆95Sep 19, 2020Updated 6 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
- 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
- Anomaly IDS using a one-class autoencoder.☆11Oct 31, 2019Updated 7 years ago
- IDS abnormal traffic detection tensorflow☆44Jul 25, 2019Updated 7 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
- ☆15Feb 15, 2023Updated 3 years ago
- ☆11Jan 4, 2024Updated 2 years ago
- convGRU based autoencoder for unsupervised & spatial-temporal anomaly detection in computer network (PCAP) traffic.☆19Feb 16, 2024Updated 2 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- the source code of the paper named as: Solar Irradiance forecasting using dynamic ensemble selection☆13Mar 24, 2022Updated 4 years ago
- This is the source code of "Intrusion Detection of Industrial Internet-of-Things Based on Reconstructed Graph Neural Networks"☆12Jan 19, 2024Updated 2 years ago
- NSL KDD binary classification with Transformer☆10Aug 17, 2020Updated 6 years ago
- Tool & data on the correctness of Defects4 patches generated by program repair tools http://arxiv.org/pdf/1909.13694☆12May 29, 2023Updated 3 years ago
- implement IDS using deep learning☆13May 24, 2019Updated 7 years ago
- Code Snippet used to convert CSV dataset into Images in IEEE Published Article: IoT DoS and DDoS Attack Detection using ResNet☆14Aug 21, 2021Updated 5 years ago
- DNN-Ensemble IDS is a machine learning based classification model for intrusion detection exploiting ensembles of classifiers.☆11May 12, 2021Updated 5 years ago
- DISEÑO Y EVALUACIÓN DE REDES NEURONALES CONVOLUCIONALES PARA UN SISTEMA DE DETECCIÓN DE INTRUSIONES☆14Jun 14, 2020Updated 6 years ago
- ☆11Oct 3, 2021Updated 5 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.
- Machine Learning with the NSL-KDD dataset for Network Intrusion Detection☆275Apr 5, 2020Updated 6 years ago
- 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
- Replication of Jay Sinha's Efficient Deep CNN-BiLSTM model for network intrusion detection using NSL-KDD and UNSW-NB15 datasets to unders…☆18Aug 25, 2024Updated 2 years ago
- The given information of network connection, model predicts if connection has some intrusion or not. Binary classification for good and b…☆12Aug 10, 2019Updated 7 years ago
- MulVAL interaction rules and their mapping to MITRE ATT&CK Techniques☆13Oct 21, 2024Updated 2 years ago
- This repository is for exploring various ML and DL techniques for network intrusion detection☆10Jun 21, 2020Updated 6 years ago
- deep learning applied to Network Intrusion Detection with NSL-KDD data☆16Feb 3, 2018Updated 8 years ago