NUAA-YANG / CNNView external linksLinks
CNN网络入侵检测
☆58Apr 12, 2024Updated last year
Alternatives and similar repositories for CNN
Users that are interested in CNN are comparing it to the libraries listed below
Sorting:
- 机器学习/深度学习实现入侵检测项目☆60Mar 23, 2023Updated 2 years ago
- 在当前的数字时代，随着网络攻击日益复杂和频繁，网络安全成为了保障信息安全的重中之重。尤其是在网络入侵检测领域，传统的基于规则的检测方法已经难以应对日新月异的攻击技术。因此，利用深度学习技术进行网络入侵检测成为了研究的新趋势。本项目旨在开发一种基于卷积神经网络（CNN）和Tr…☆35Apr 7, 2024Updated last year
- 将联邦学习以及知识蒸馏用于搭建网络入侵检测检测模型，在NSL-KDD数据集上进行了验证。☆31Jun 29, 2023Updated 2 years ago
- 使用卷积神经网络进行网络入侵检测，正确率可达99.5%☆198Jun 2, 2019Updated 6 years ago
- 机器学习作业，机器学习和深度学习方法实现入侵检测☆36Apr 19, 2022Updated 3 years ago
- 基于机器学习的网络入侵检测系统☆26Aug 11, 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
- 使用贝叶斯、神经网络、KNN进行入侵检测（KDD-CUP99）☆81Jul 1, 2020Updated 5 years ago
- 基于联邦学习和深度残差网络的sdn入侵检测研究☆17Jun 17, 2024Updated last year
- A study on Deep Learning and Graph Neural Network for Intrusion Detection and Prevention (CNN, VAE, GNN,...)☆15Jan 16, 2023Updated 3 years ago
- Thesis research on enhancing Network Intrusion Detection System (NIDS) explainability using Transformers.☆18Sep 11, 2023Updated 2 years ago
- 这是一个基于Python的网络入侵检测与防御系统，提供实时流量分析、攻击检测、自动防御和可视化监控功能。☆61Jun 9, 2025Updated 8 months ago
- ☆13Apr 6, 2023Updated 2 years ago
- 联邦学习预测节点流量☆13Dec 5, 2020Updated 5 years ago
- Network Intrusion Detection System using Deep Learning Techniques☆172Dec 15, 2019Updated 6 years ago
- 基于机器学习的DDoS入侵检测算法☆14Mar 14, 2022Updated 3 years ago
- A Graph Neural Network-based Intrusion Detection System☆30Aug 12, 2024Updated last year
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆122Oct 25, 2022Updated 3 years ago
- ☆44Dec 26, 2020Updated 5 years ago
- TensorFlow 2 implementation of Wasserstein Conditional GAN with Gradient Penalty (WCGAN-GP) for synthetic data generation☆21Jan 31, 2022Updated 4 years ago
- Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning, Recurrent Neural Netwo…☆20Feb 26, 2024Updated last year
- IDS-GAN: Generative Adversarial Networks for AttackGeneration against Intrusion Detection☆28Jan 17, 2024Updated 2 years ago
- 基于神经网络的流量异常检测☆154Jul 28, 2020Updated 5 years ago
- Machine Learning in Cybersecurity☆90May 23, 2025Updated 8 months ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆49Jun 13, 2024Updated last year
- The case study on a Network-based Intrusion Detection System is a Machine Learning-based Web application based on https://arxiv.org/pdf/1…☆28Apr 3, 2022Updated 3 years ago
- 此项目为面向有志于考取西电网安953的同学提供的，完全免费。☆99Jul 25, 2022Updated 3 years ago
- 为了了解观看热门电影的用户都有哪些特征，爬取猫眼网站热门电影的评论数据进行分析：评分统计、词云、城市评论数量与平均评分、性别分析、评论数量与时间的关系。☆10Nov 14, 2019Updated 6 years ago
- 基于KNN算法的入侵检测系统☆36Aug 1, 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
- 定义了网络流量数据的分布外数据类型，其次介绍了两个检测方法使用到的知识或技术，并利用这些技术知识设计了基于两种检测方法的 分布外异常检测系统。☆10Sep 26, 2023Updated 2 years ago
- ☆11Feb 14, 2023Updated 3 years ago
- A PyTorch implementation of of Anomal-E.☆41Dec 16, 2022Updated 3 years ago
- CUMT 计算机科学与技术 2016版培养方案 课程资源☆10Sep 7, 2022Updated 3 years ago
- 针对一维时间序列数据，采用GMM和K-Means算法进行异常点检测。For one-dimensional time series data, GMM and K-means algorithm are used to detect outliers.☆11Jan 16, 2021Updated 5 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
- ☆14Apr 1, 2025Updated 10 months ago
- Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15☆762May 8, 2019Updated 6 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆40Jun 15, 2020Updated 5 years ago