数据集下载链接:UNSW-NB15 Download 数据集中一共有9种攻击: This dataset has nine types of attacks, namely,Fuzzers, Analysis, Backdoors, DoS, Exploits, Generic, Reconnaissance, Shellcode and Worms. 数据集一共有49个特征, 我们会在后面对每一种特征进行介绍. 在csv中保存的数据共有2,540044条数据,...
Download UNSW-NB15 and CIC-IDS2017 Datasets for Network Intrusion Detection (NIDS) cybersecuritydatasetsnidsunsw-nb15cic-ids-2017 UpdatedAug 2, 2023 Python Codes for the paper entitled "Optimization of Predictive Performance of Intrusion Detection System Using Hybrid Ensemble Model for Secure Systems"...
https://www.kaggle.com/kernels/scriptcontent/110560955/download 模型结果:模型对比 谢邀,祝好。
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https://www.kaggle.com/kernels/scriptcontent/110560955/download 模型结果:模型对比 谢邀,祝好。
基本的机器学习模型效果也挺好的。https://www.kaggle.com/kernels/scriptcontent/110560955/download模型...
基于CNN-BiBASRU-AT的网络异常流量检测模型在UNSW-NB15数据集上取得了92.81%的F1值,这一结果高于实验...
StrGenIx | Laurens D'hooge · 3y ago· 822 views arrow_drop_up1 Copy & Edit23 more_vert UNSW-NB15-02-XGB: 0.922 AUROCNotebookInputOutputLogsComments (0)Output Data Download notebook output navigate_nextminimize content_copyhelpSyntaxError: Unexpected end of JSON input...
file_downloadDownload Logs check_circle Successfully ran in 3.5s Accelerator None Environment Latest Container Image Output 0 B Time # Log Message 2.2s 1 /opt/conda/lib/python3.10/site-packages/traitlets/traitlets.py:2930: FutureWarning: --Exporter.preprocessors=["nbconvert.preprocessors.ExtractOutput...
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