hctestedu / web-test-projectLinks
软件WEB测试自动化测试实战项目selenium实战项目
☆15Updated last year
Alternatives and similar repositories for web-test-project
Users that are interested in web-test-project are comparing it to the libraries listed below
Sorting:
- 软件测试练习项目☆40Updated 5 years ago
- WebUI 自动化测试练习项目☆11Updated 3 years ago
- ☆11Updated 4 years ago
- CNN网络入侵检测☆56Updated last year
- 论文Encrypted Traffic Classification with One-dimensional Convolution Neural Networks的torch实现☆41Updated 2 years ago
- 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…☆10Updated last year
- 🎈 2020年中国高校计算机大赛(C4)-网络技术挑战赛EP2决赛赛项:基于CNN+LSTM时空神经网络的在线流量分类模型。☆52Updated 2 years ago
- Implementation of a multi-task model for encrypted network traffic classification based on transformer and 1D-CNN.☆37Updated last year
- This platform is designed and implemented for encrypted traffic classification using deep learning☆18Updated 2 years ago
- ☆71Updated 10 months ago
- 软件测试1000道面试题及答案解析,自动化测试、性能测试、接口测试、项目面试、自我介绍、软件测试面试题、接口自动化、WEB自动化☆380Updated last year
- Improving Transferability of Network Intrusion Detection in a Federated Learning Setup☆12Updated last year
- 基于联邦学习和深度残差网络的sdn入侵检测研究☆13Updated last year
- Intrusion Detection System - IDS example using Dense, Conv1d and Lstm layers in Keras / TensorFlow☆25Updated 2 years ago
- ☆11Updated last year
- code implementation for paper: A Novel Multimodal Deep Learning Framework for Encrypted Traffic Classification☆57Updated 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…☆32Updated last year
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆115Updated 2 years ago
- 软件测试项目☆11Updated 8 years ago
- 《基于卷积神经网络(CNN)的网络流量分类》优秀本科毕设相关文档☆70Updated 4 years ago
- Efficient Network Traffic Classification via Pre-training Unidirectional Mamba☆137Updated 6 months ago
- 基于神经网络的流量异常检测☆144Updated 5 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☆36Updated 3 years ago
- An Intrusion Detection System based on Deep Belief Networks☆87Updated 2 years ago
- 使用贝叶斯、神经网络、KNN进行入侵检测(KDD-CUP99)☆82Updated 5 years ago
- 网络流量分类对比方法汇总☆194Updated 5 months ago
- 本项目旨在设计和实现一个基于深度学习的加密恶意流量检测系统。通过将网络流量数据转换为图像数据,并利用图像分类模型进行检测,该系统能够有效地检测加密恶意流量。在数据集选取上使用了包含加密恶意和正常流量的数据集,以更好地反映实际网络环境中的特征和行为模式。在数据预处理方面,通过…☆12Updated last year
- CESNET Models: Neural networks for network traffic classification☆18Updated 2 months ago
- Deep Model Intrusion Detection (IDS) Evaluation of NSL KDD and CIC IDS 2018 datasets.☆18Updated 2 years ago
- 软件测试学期项目MeetHere场馆预约电子商务网站☆196Updated 3 years ago