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☆13Jul 10, 2024Updated last year
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆39Apr 21, 2023Updated 2 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
- The continuing increase of Internet of Things (IoT) based networks have increased the need for Computer networks intrusion detection sys…☆59Apr 30, 2021Updated 4 years 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.
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆27Sep 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"☆36Mar 3, 2023Updated 3 years ago
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆200Sep 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
- Development of Botnet Detection Module for Traffic-Based IoT Devices Using Deep Learning☆14Dec 26, 2022Updated 3 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
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Intrusion Detection System, IDS,Cyberattack Detection,Pytorch,Transformer☆11Oct 17, 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
- 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
- This is a code reproduction for the paper titled "N-BaIoT—Network-Based Detection of IoT Botnet Attacks Using Deep Autoencoders"☆12Apr 22, 2021Updated 4 years ago
- ☆43Dec 26, 2020Updated 5 years ago
- NEGSC☆47May 30, 2024Updated last year
- VoIP honeypot system☆22Apr 2, 2024Updated last year
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆49May 17, 2020Updated 5 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
- The source code of algorithms in paper "Incentive-Driven Task Offloading and Collaborative Computing in Device-Assisted MEC Networks".☆15Dec 22, 2024Updated last year
- ☆22Dec 17, 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
- Using RL for anomaly detection in NSL-KDD☆124Mar 25, 2023Updated 3 years ago
- Next–Generation Intrusion Detection for IoT EVCS: Integrating CNN, LSTM, and GRU Models☆18Feb 19, 2025Updated last year
- Official code for Fisher information embedding for node and graph learning (ICML 2023)☆19Jun 17, 2023Updated 2 years ago
- NordVPN Special Discount Offer • AdSave on top-rated NordVPN 1 or 2-year plans with secure browsing, privacy protection, and support for for all major platforms.
- Anomaly detection with GAN+RL☆11Jan 12, 2019Updated 7 years ago
- Network Intrusion Detection System(Abnormal Detection)☆11Jun 14, 2020Updated 5 years ago
- uPU, nnPU and PN learning with Extra Trees classifier.☆19Dec 2, 2024Updated last year
- Multi-head SSH honeypot system.☆24Mar 21, 2024Updated 2 years ago
- code for infocom 2021 paper MANDA☆11May 30, 2023Updated 2 years ago
- The detection of Botnet attacks on various IOT Devices using various Machine Learning Models☆15Dec 31, 2019Updated 6 years ago
- A SDN project to implement moving target defense☆11Nov 21, 2014Updated 11 years ago