Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"
☆37Mar 3, 2023Updated 3 years ago
Alternatives and similar repositories for transformerAD
Users that are interested in transformerAD are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆28Sep 10, 2024Updated last year
- Thesis research on enhancing Network Intrusion Detection System (NIDS) explainability using Transformers.☆18Sep 11, 2023Updated 2 years ago
- ☆48Aug 7, 2022Updated 3 years ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆18Apr 18, 2023Updated 3 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆39Apr 21, 2023Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Next–Generation Intrusion Detection for IoT EVCS: Integrating CNN, LSTM, and GRU Models☆18Feb 19, 2025Updated last year
- 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
- code implementation for paper: A Novel Multimodal Deep Learning Framework for Encrypted Traffic Classification☆61Feb 28, 2023Updated 3 years ago
- GNN4ID: A Toolset for Crafting Graph Neural Network-Based NIDS Datasets☆31Feb 23, 2026Updated 2 months ago
- Network System Intrusion Detection using Graph Neural Networks☆22Aug 1, 2023Updated 2 years ago
- Source code for paper "Multi-Classification In-Vehicle Intrusion Detection System using Packet- and Sequence-Level Characteristics from T…☆42Apr 17, 2025Updated last year
- 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
- ☆19Jan 2, 2025Updated last year
- Sharkticon is an anomaly detection system, it analyzes your network using a Transformers model adapted to the anomaly detection.☆23May 19, 2023Updated 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.
- FL-based intrusion detection system development using model averaging.☆45Dec 18, 2022Updated 3 years ago
- Attention Model for Network Intrusion Detection☆19Jul 24, 2019Updated 6 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
- A Deep Learning Based Intrusion Detection System for IIoT Networks☆14Jul 10, 2024Updated last year
- Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets☆23May 13, 2022Updated 3 years ago
- A generative deep learning model based on GAN architecture was implemented to generate synthetic network data (benign and malicious) alik…☆10Oct 23, 2021Updated 4 years ago
- IDS-GAN: Generative Adversarial Networks for AttackGeneration against Intrusion Detection☆28Jan 17, 2024Updated 2 years ago
- A Graph Neural Network-based Intrusion Detection System☆37Aug 12, 2024Updated last year
- IoT Attack Detection with machine learning☆31Jun 12, 2025Updated 10 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Network Traffic Classification with Graph Neural Networks☆12Nov 4, 2023Updated 2 years ago
- Codes for the paper entitled "Optimization of Predictive Performance of Intrusion Detection System Using Hybrid Ensemble Model for Secure…☆16May 29, 2023Updated 2 years ago
- 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
- Intrusion Detection System, IDS,Cyberattack Detection,Pytorch,Transformer☆11Oct 17, 2022Updated 3 years ago
- ☆10Mar 11, 2023Updated 3 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
- 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
- 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
- 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.
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆205Apr 20, 2026Updated last week
- One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning☆56Mar 2, 2024Updated 2 years ago
- Official repository for the paper "Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Ne…☆15Jul 31, 2024Updated last year
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆52Sep 20, 2024Updated last year
- ☆20Jan 20, 2021Updated 5 years ago
- ☆11Apr 4, 2022Updated 4 years ago
- ☆103Nov 25, 2023Updated 2 years ago