A Recurrent Neural Networks implementation using Keras for network intrusion detection
☆31Jun 14, 2021Updated 4 years ago
Alternatives and similar repositories for RNN_Intrusion-Detection_Keras
Users that are interested in RNN_Intrusion-Detection_Keras are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆77Oct 20, 2020Updated 5 years ago
- Network System Intrusion Detection using Graph Neural Networks☆23Aug 1, 2023Updated 2 years ago
- Network data classifier based on the recurrent neural network.☆20Apr 3, 2019Updated 7 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆39Apr 21, 2023Updated 3 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
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15☆771May 8, 2019Updated 7 years ago
- An Intelligent Intrusion Detection System for IoT networks using Gated Recurrent Neural Networks (GRU) : A Deep Learning Approach☆33Jul 16, 2018Updated 7 years ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆18Apr 18, 2023Updated 3 years ago
- Using NSL_KDD data☆29Mar 3, 2019Updated 7 years ago
- Tensorflow环境下,基于CNN算法,KD99与网络数据训练集共3000w数据训练,在19w数据与1w攻检验下,模型准确率为92.8%.☆66Mar 22, 2022Updated 4 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Apr 9, 2020Updated 6 years ago
- ☆23May 15, 2019Updated 6 years ago
- Intrusion detection engine for Cloud Systems built using Alternative Fuzzy C-mean Clustering and Artificial Neural Network☆19May 8, 2018Updated 8 years ago
- Machine Learning Algorithms on NSL-KDD dataset☆97May 30, 2019Updated 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.
- SDN based system to translate MUD profile to flow rules using Faucet as a controller☆10Jan 31, 2019Updated 7 years ago
- Deep Learning techniques can be implemented in the field of cybersecurity to handle the issues related to intrusion just as they have bee…☆24Jan 11, 2021Updated 5 years ago
- ☆13Mar 24, 2017Updated 9 years ago
- Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for …☆94Oct 18, 2019Updated 6 years ago
- Forest of random partitioning trees for point-wise and collective anomaly detection☆12Nov 1, 2024Updated last year
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆57May 15, 2019Updated 6 years ago
- Industrial Control Systems Network Intrusion Detection☆13Mar 19, 2021Updated 5 years ago
- Implemented a network intrusion detection system for a software defined network using Random Forest method for classification of port an…☆42Jul 20, 2018Updated 7 years ago
- Tensorflow Implementation of paper Applying long short-term memory recurrent neural networks to intrusion detection with KDDCup99 Data☆15Nov 14, 2018Updated 7 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.
- Reproduce the code of papers related to the field of NIDS(network intrusion detection system).入侵检测领域的相关论文复现/适配本地PC后的代码.☆26Apr 30, 2021Updated 5 years ago
- This project aims to detect Intrusions with a network using deep learning. The network traffic data is converted to multi channel RGB ima…☆12Nov 27, 2021Updated 4 years ago
- [ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection☆174Mar 24, 2023Updated 3 years ago
- PySpark solution to the NSL-KDD dataset: https://www.unb.ca/cic/datasets/nsl.html☆130Sep 8, 2020Updated 5 years ago
- A Deep Learning approach toward creating a NIDS using python☆25Aug 8, 2023Updated 2 years ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆37Mar 3, 2023Updated 3 years ago
- Web Application Firewall Benchmark☆12May 14, 2022Updated 3 years ago
- Network Security Analysis using Machine Learning on the NSL-KDD dataset from the KDD Cup 1999☆21Nov 3, 2019Updated 6 years ago
- Software Defined Network Monitor System☆14Sep 28, 2021Updated 4 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.
- 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
- Open-source teaching framework for software-defined networking (SDN)☆21Dec 5, 2023Updated 2 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Sep 14, 2020Updated 5 years ago
- Machine Learning with the NSL-KDD dataset for Network Intrusion Detection☆273Apr 5, 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 10 months ago
- An intrusion detection system (IDS) based on machine learning technique, specifically the anomaly detection algorithm.☆24Sep 22, 2020Updated 5 years ago
- SDN-IP application implemented on Ryu which allows a Software Defined Network to connect to external networks on the Internet using the s…☆18Jul 19, 2017Updated 8 years ago