Unofficial repo of the research paper ”An Intrusion Detection System Using a Deep Neural Network with Gated Recurrent Units“. Developed using Keras, the deep learning model uses GRU / MLP.
☆31Dec 26, 2019Updated 6 years ago
Alternatives and similar repositories for Intrusion-Detection-on-NSL-KDD
Users that are interested in Intrusion-Detection-on-NSL-KDD 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.☆76Oct 20, 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
- Using NSL_KDD data☆28Mar 3, 2019Updated 7 years ago
- deep learning applied to Network Intrusion Detection with NSL-KDD data☆16Feb 3, 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 7 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Sec…☆295Dec 22, 2023Updated 2 years ago
- ☆23May 15, 2019Updated 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 5 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆89Dec 27, 2023Updated 2 years ago
- ⼀个有潜⼒的⽹络⼊侵检测算法，引⼊了乘法注意⼒机制将其融合到 CNN 的分类模型中，在KDD99和UNSM-NB15数据集进行模型的训练结果优于一般机器学习方法和CNN。A promising network intrusion detection algorithm is…☆13Mar 5, 2024Updated 2 years ago
- Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15☆761May 8, 2019Updated 6 years ago
- 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 4 years ago
- Machine Learning Algorithms on NSL-KDD dataset☆97May 30, 2019Updated 6 years ago
- The case study on a Network-based Intrusion Detection System is a Machine Learning-based Web application based on https://arxiv.org/pdf/1…☆30Apr 3, 2022Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆48Jul 15, 2023Updated 2 years ago
- Code for the IEEE IoTJ paper "Semi-Supervised Federated Learning Based Intrusion Detection Method for Internet of Things"☆33Dec 18, 2022Updated 3 years ago
- Application of novel EC-GAN method on Network Intrusion Detection☆24Dec 24, 2021Updated 4 years ago
- One critical issue within network security refers to intrusion detection. The nature of intrusion attempts appears to be nonlinear, where…☆10Sep 29, 2022Updated 3 years ago
- NSL KDD binary classification with Transformer☆10Aug 17, 2020Updated 5 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆49May 17, 2020Updated 5 years ago
- Using PyTorch to train kddcup99 dataset with convolutional neural networks.☆55Apr 9, 2019Updated 6 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆39Apr 21, 2023Updated 2 years ago
- A Recurrent Neural Networks implementation using Keras for network intrusion detection☆31Jun 14, 2021Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A GAN-based model focused on anomaly detection in discrete dataset☆26Dec 30, 2019Updated 6 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Sep 14, 2020Updated 5 years ago
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆39Aug 8, 2020Updated 5 years ago
- A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach☆147Oct 12, 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
- ☆14Jul 22, 2024Updated last year
- 使用贝叶斯、神经网络、KNN进行入侵检测（KDD-CUP99）☆81Jul 1, 2020Updated 5 years ago
- ☆16Jul 15, 2022Updated 3 years ago
- ☆21Sep 21, 2020Updated 5 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- An Intrusion Detection System based on Deep Belief Networks☆92Oct 27, 2022Updated 3 years ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆18Apr 18, 2023Updated 2 years ago
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆200Apr 21, 2023Updated 2 years ago
- A Deep Learning approach toward creating a NIDS using python☆25Aug 8, 2023Updated 2 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 6 years ago
- Convert PHP code into PHP opcode, use GaussianNB for training☆10Mar 21, 2020Updated 6 years ago
- Webshell Detection Based on Deep Learning☆12Jun 12, 2018Updated 7 years ago