Intrusion Detection Based on Convolutional Neural Network with kdd99 data set
☆57May 15, 2019Updated 6 years ago
Alternatives and similar repositories for kdd99-cnn-1
Users that are interested in kdd99-cnn-1 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Intrusion Detection System using Machine Learning and Deep Learning☆90Dec 27, 2023Updated 2 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆77Oct 20, 2020Updated 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
- cnn_1D for kdd99☆21Nov 7, 2018Updated 7 years ago
- Network Intrusion Detection System(Abnormal Detection)☆11Jun 14, 2020Updated 5 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.
- clean data ,feature selection , svm based kdd99☆27Oct 18, 2019Updated 6 years ago
- Using PyTorch to train kddcup99 dataset with convolutional neural networks.☆55Apr 9, 2019Updated 7 years ago
- Solutions to kdd99 dataset with Decision tree and Neural network by scikit-learn☆59Apr 1, 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
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Apr 9, 2020Updated 6 years ago
- Unofficial repo of the research paper ”An Intrusion Detection System Using a Deep Neural Network with Gated Recurrent Units“. Developed u…☆32Dec 26, 2019Updated 6 years ago
- Network Security Analysis using Machine Learning on the NSL-KDD dataset from the KDD Cup 1999☆21Nov 3, 2019Updated 6 years ago
- 使用卷积神经网络进行网络入侵检测，正确率可达99.5%☆199Jun 2, 2019Updated 6 years ago
- Network Intrusion Detection System using Deep Learning Techniques☆175Dec 15, 2019Updated 6 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Machine Learning Based DDoS Detection (HTTP,UDP,TCP and ICMP Flood Attack)☆10Jul 3, 2018Updated 7 years ago
- Pre-processing NSL-KDD dataset using Data mining techniques. Algorithm written in python to detect the attacks in NSL KDD dataset.☆27Jan 6, 2020Updated 6 years ago
- Deep learning models for network intrusion detection☆40Mar 24, 2023Updated 3 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Sep 14, 2020Updated 5 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆49May 17, 2020Updated 5 years ago
- Deep learning based Intrusion Detection System☆34Apr 26, 2020Updated 6 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆39Apr 21, 2023Updated 3 years ago
- ☆10Jan 4, 2024Updated 2 years ago
- A Deep Learning Based Intrusion Detection System for IIoT Networks☆14Jul 10, 2024Updated last year
- 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.
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆13Aug 16, 2020Updated 5 years ago
- Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15☆771May 8, 2019Updated 7 years ago
- implement IDS using deep learning☆13May 24, 2019Updated 6 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
- A Recurrent Neural Networks implementation using Keras for network intrusion detection☆31Jun 14, 2021Updated 4 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
- deep learning applied to Network Intrusion Detection with NSL-KDD data☆16Feb 3, 2018Updated 8 years ago
- Applying Machine Learning model (SVM) into DDoS attack detection in SDN.☆49Jun 7, 2021Updated 4 years ago
- Designed and developed an anomaly and misuse based intrusion detection system using neural networks. Technologies used: Java Weka and R.…☆29May 20, 2015Updated 10 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- ☆16Jan 5, 2018Updated 8 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆42Jun 15, 2020Updated 5 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
- Adversarial Machine Learning applications on network-based Intrusion Detection System (IDS).☆28May 8, 2020Updated 6 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
- [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
- Cyber Attack Detection thanks to Machine Learning Algorithms☆108Jan 20, 2020Updated 6 years ago