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 proposed, incorporating a multiplicative attention mechanism into the CNN classification model. The training results on the KDD99 and UNSW-NB15 datasets outperform conventional machine learning methods and CNN
☆13Mar 5, 2024Updated 2 years ago
Alternatives and similar repositories for Attention-CNN-Intrusion-Detection-System
Users that are interested in Attention-CNN-Intrusion-Detection-System are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Deep learning intrusion detection system trained on the UNSW-NB15 dataset for IIoT networks.☆14Jul 10, 2024Updated last year
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆39Apr 21, 2023Updated 3 years ago
- Application of novel EC-GAN method on Network Intrusion Detection☆25Dec 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
- Implement a VAE to learn a reduced state space representation from the NSL-KDD dataset, capturing essential features of normal network t…☆14Feb 15, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Thesis research on enhancing Network Intrusion Detection System (NIDS) explainability using Transformers.☆18Sep 11, 2023Updated 2 years ago
- The continuing increase of Internet of Things (IoT) based networks have increased the need for Computer networks intrusion detection sys…☆60Apr 30, 2021Updated 5 years ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆29Sep 10, 2024Updated last year
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆38Mar 3, 2023Updated 3 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 Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆205Sep 8, 2021Updated 4 years ago
- Implementation of the ACL Findings paper "OutFlip: Generating Examples for Unknown Intent Detection with Natural Language Attack"☆10May 24, 2021Updated 5 years ago
- This project aims to identify and classify the anomalies captured in network traffic using different machine learning strategies. After t…☆13Jul 14, 2022Updated 3 years ago
- Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm☆92Sep 19, 2020Updated 5 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.
- A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".☆39May 5, 2017Updated 9 years ago
- Intrusion Detection System, IDS，Cyberattack Detection，Pytorch，Transformer☆11Oct 17, 2022Updated 3 years ago
- ☆48Aug 7, 2022Updated 3 years ago
- Development of a transfer learning system for the detection of cyber-attacks in 5G and IoT networks. Transfer learning will improve the a…☆17Jul 20, 2022Updated 3 years ago
- As society and technology develop, more and more of our time is spent online, from shopping to socialising, working to banking. Ensuring …☆10Oct 8, 2022Updated 3 years ago
- Cyder is a Honeypot that can imitate any machines Operating System (OS) that is available in the NMAP database☆12May 26, 2022Updated 4 years ago
- 基于LangGraph和MCP的智能工具集成平台 - AI Agent with Multiple MCP Tools Integration☆21Aug 5, 2025Updated 11 months ago
- ☆43Dec 26, 2020Updated 5 years ago
- This is a code reproduction for the paper titled "N-BaIoT—Network-Based Detection of IoT Botnet Attacks Using Deep Autoencoders"☆14Apr 22, 2021Updated 5 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.
- VoIP honeypot system☆22Apr 2, 2024Updated 2 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆49May 17, 2020Updated 6 years ago
- Codes for the paper entitled "Optimization of Predictive Performance of Intrusion Detection System Using Hybrid Ensemble Model for Secure…☆16May 29, 2023Updated 3 years ago
- The source code of algorithms in paper "Incentive-Driven Task Offloading and Collaborative Computing in Device-Assisted MEC Networks".☆15Dec 22, 2024Updated last year
- Replication of Jay Sinha's Efficient Deep CNN-BiLSTM model for network intrusion detection using NSL-KDD and UNSW-NB15 datasets to unders…☆17Aug 25, 2024Updated last year
- Analysis and preprocessing of the kdd cup 99 dataset using python and scikit-learn☆22Mar 11, 2020Updated 6 years ago
- ☆29Dec 17, 2024Updated last year
- [ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection☆173Mar 24, 2023Updated 3 years ago
- Next–Generation Intrusion Detection for IoT EVCS: Integrating CNN, LSTM, and GRU Models☆18Feb 19, 2025Updated last year
- 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.
- Network Intrusion Detection System(Abnormal Detection)☆11Jun 14, 2020Updated 6 years ago
- uPU, nnPU and PN learning with Extra Trees classifier.☆20Dec 2, 2024Updated last year
- EagleEye: Transformer-based malware detection - https://ieeexplore.ieee.org/document/10896250☆18Mar 12, 2025Updated last year
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆49Jun 13, 2024Updated 2 years ago
- code for infocom 2021 paper MANDA☆11May 30, 2023Updated 3 years ago
- Malicious URL Detection Using Deep Learning.☆15Jul 3, 2023Updated 3 years ago
- A SDN project to implement moving target defense☆11Nov 21, 2014Updated 11 years ago