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:
- A Deep Learning Based Intrusion Detection System for IIoT Networks☆14Jul 10, 2024Updated last year
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆39Apr 21, 2023Updated 2 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
- Thesis research on enhancing Network Intrusion Detection System (NIDS) explainability using Transformers.☆18Sep 11, 2023Updated 2 years ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- 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
- The continuing increase of Internet of Things (IoT) based networks have increased the need for Computer networks intrusion detection sys…☆58Apr 30, 2021Updated 4 years ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆28Sep 10, 2024Updated last year
- Unofficial repo of the research paper ”An Intrusion Detection System Using a Deep Neural Network with Gated Recurrent Units“. Developed u…☆31Dec 26, 2019Updated 6 years ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆37Mar 3, 2023Updated 3 years ago
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆203Sep 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 4 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆76Oct 20, 2020Updated 5 years ago
- Developed a Moving Target Defense mechanism to prevent IP scanning from inside & outside the network. Controlled the packet flow in a SDN…☆28Mar 18, 2018Updated 8 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.
- Development of Botnet Detection Module for Traffic-Based IoT Devices Using Deep Learning☆14Dec 26, 2022Updated 3 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
- The application of using ML in intrusion detection has mostly been limited to research work and showing results on the formally used kdd9…☆11Oct 13, 2020Updated 5 years ago
- Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm☆91Sep 19, 2020Updated 5 years ago
- A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".☆39May 5, 2017Updated 8 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
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Tensorflow Implementation of paper Applying long short-term memory recurrent neural networks to intrusion detection with KDDCup99 Data☆15Nov 14, 2018Updated 7 years ago
- Cyder is a Honeypot that can imitate any machines Operating System (OS) that is available in the NMAP database☆12May 26, 2022Updated 3 years ago
- 基于LangGraph和MCP的智能工具集成平台 - AI Agent with Multiple MCP Tools Integration☆20Aug 5, 2025Updated 8 months ago
- Convolutional Neural Network (CNN) for network intrusion☆24Dec 19, 2025Updated 3 months ago
- ☆43Dec 26, 2020Updated 5 years ago
- NEGSC☆47May 30, 2024Updated last year
- This is a code reproduction for the paper titled "N-BaIoT—Network-Based Detection of IoT Botnet Attacks Using Deep Autoencoders"☆13Apr 22, 2021Updated 4 years ago
- 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 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.
- 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
- The source code of algorithms in paper "Incentive-Driven Task Offloading and Collaborative Computing in Device-Assisted MEC Networks".☆15Dec 22, 2024Updated last year
- GAN / AUTOENCODER for network intrusion detection using NSL-KDD dataset: https://www.kaggle.com/datasets/hassan06/nslkdd☆19Apr 25, 2023Updated 2 years ago
- 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
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆18Apr 18, 2023Updated 3 years ago
- Using RL for anomaly detection in NSL-KDD☆124Mar 25, 2023Updated 3 years ago