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
Alternatives and similar repositories for IDS
Users that are interested in IDS are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 基于机器学习的DDoS入侵检测算法☆14Mar 14, 2022Updated 4 years ago
- 机器学习/深度学习实现入侵检测项目☆61Mar 23, 2023Updated 3 years ago
- 基于机器学习的入侵检测系统☆83Feb 1, 2020Updated 6 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%☆197Jun 2, 2019Updated 6 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
- CNN网络入侵检测☆58Apr 12, 2024Updated last year
- 基于PCAP的网络入侵检测系统☆15Jan 19, 2022Updated 4 years ago
- ☆13Apr 6, 2023Updated 2 years ago
- 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
- 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…☆36Apr 7, 2024Updated last year
- Networking IDS , network traffic classification with ML. Final Project for ECE-417.☆14Jan 21, 2020Updated 6 years ago
- This clustering based anomaly detection project implements unsupervised clustering algorithms on the NSL-KDD and IDS 2017 datasets☆59Dec 5, 2019Updated 6 years ago
- 毕业设计——基于监督学习的web入侵检测系统（0day收集器）☆63Dec 7, 2016Updated 9 years ago
- IoT intrusion Detection Model based on neural network and random forests☆48Oct 16, 2018Updated 7 years ago
- Intrusion detection system using CNN and RNN☆25Sep 23, 2019Updated 6 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。☆66Jun 9, 2025Updated 9 months ago
- Intrusion Detection System - IDS example using Dense, Conv1d and Lstm layers in Keras / TensorFlow☆25Apr 28, 2023Updated 2 years ago
- 基于深度学习与集成学习的综合策略WebShell检测系统☆19Dec 26, 2018Updated 7 years ago
- code implementation for paper: A Novel Multimodal Deep Learning Framework for Encrypted Traffic Classification☆61Feb 28, 2023Updated 3 years ago
- This repository is used to store recording about papers and presentations readed.☆18Aug 8, 2024Updated last year
- 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
- ☆11Aug 10, 2021Updated 4 years ago
- learn to allocate wireless resources with GNN in over-the-air FL system☆10Jun 4, 2023Updated 2 years ago
- Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning, Recurrent Neural Netwo…☆20Feb 26, 2024Updated 2 years ago
- Network data classifier based on the recurrent neural network.☆20Apr 3, 2019Updated 6 years ago
- ☆15Sep 15, 2021Updated 4 years ago
- A deep learning based intrusion detection system using CSE-CIC-IDS2018 dataset.☆13Apr 16, 2020Updated 5 years ago
- Code using in Paper "Smart Contract Vulnerability Detection Based on Semantic Graph and Residual Graph Convolutional Networks with Edge A…☆16Apr 24, 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
- Implementation for the protocols described in https://eprint.iacr.org/2023/1700☆14Jan 9, 2025Updated last year
- 分布式实时日志分析与入侵检测系统☆247Jan 7, 2026Updated 2 months ago
- 脱敏的毕业设计——网络安全课程实验仿真系统☆13May 19, 2021Updated 4 years ago
- 基于机器学习的网络入侵检测系统☆26Aug 11, 2024Updated last year
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆199Apr 21, 2023Updated 2 years ago
- Two staged IDS specific to IoT networks where Signature based IDS and Anomaly based IDS which is trained and classified using machine lea…☆45Jun 3, 2019Updated 6 years ago
- Scalable Representation of RSSIs for Multi-Building and Multi-Floor Indoor Localization Based on Deep Neural Networks☆12Sep 15, 2022Updated 3 years ago
- Cross-site-scripting attacks: A Comprehensive dataset for AI techniques usage☆21Apr 15, 2022Updated 3 years ago
- UCAS春季学期课程 网络空间安全态势感知 加密流量分类中间结果数据集☆25Apr 21, 2022Updated 3 years ago
- 本科毕业设计：基于TCN的电力负荷预测算法☆21May 11, 2023Updated 2 years ago