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The VNF cybersecurity dataset for research (VNFCYBERDATA)

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DataCite Commons2026-01-20 更新2025-04-17 收录
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https://drum.um.edu.mt/articles/dataset/The_VNF_cybersecurity_dataset_for_research_VNFCYBERDATA_/24998543/1
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Virtualisation has received widespread adoption and deployment across a wide range of enterprises and industries throughout the years. Network Function Virtualisation (NFV) is a technical concept that presents a method for dynamically delivering virtualised network functions as virtualised or software components. Virtualised Network Function (VNF) has distinct advantages, but it also faces serious security challenges. Cyberattacks such as Denial of Service (DoS), malware/rootkit injection, port scanning, and so on can target VNF appliances just like any other network infrastructure. To create exceptional training exercises for machine or deep learning (ML/DL) models to combat cyberattacks in VNF, a suitable dataset (VNFCYBERDATA) exhibiting an actual reflection, or one that is reasonably close to an actual reflection, of the problem that the ML/DL model could address is required. This article describes a real VNF dataset that contains over seven million data points and twenty-five cyberattacks generated from five VNF appliances. To facilitate a realistic examination of VNF traffic, the dataset includes both benign and malicious traffic.<br><b>Citation</b>If you are using this dataset for your research, please reference it as"Ayodele, B.; Buttigieg, V. The VNF Cybersecurity Dataset for Research (VNFCYBERDATA). <i>Data</i> 2024, <i>9</i>, 132. https://doi.org/10.3390/data9110132"<br><b>Documentation</b>Dataset documentation is available at: https://www.mdpi.com/2306-5729/9/11/132<br><br>

多年来,虚拟化(Virtualisation)技术已在各类企业和行业中得到广泛采用与部署。网络功能虚拟化(Network Function Virtualisation,NFV)是一种技术概念,提出了将虚拟化网络功能作为虚拟组件或软件组件动态交付的方法。虚拟化网络功能(Virtualised Network Function,VNF)具有显著优势,但也面临严峻的安全挑战。拒绝服务(Denial of Service,DoS)、恶意软件/rootkit注入、端口扫描等网络攻击可像针对其他网络基础设施一样,对VNF设备发起攻击。为构建高质量的机器学习或深度学习(machine learning/deep learning,ML/DL)模型训练样本以应对VNF中的网络攻击,需获取一个能真实反映或接近真实反映模型需解决问题的合适数据集——VNFCYBERDATA。本文介绍了一个真实的VNF数据集,包含来自5台VNF设备的超过700万个数据点和25种网络攻击样本。为便于对VNF流量进行真实场景分析,该数据集同时涵盖良性与恶意流量。<br>**引用** 若您在研究中使用该数据集,请按以下格式引用:"Ayodele, B.; Buttigieg, V. The VNF Cybersecurity Dataset for Research (VNFCYBERDATA). 《Data》2024, 9, 132. https://doi.org/10.3390/data9110132"<br>**文档** 数据集文档可通过以下链接获取:https://www.mdpi.com/2306-5729/9/11/132<br><br>
提供机构:
University of Malta
创建时间:
2024-11-07
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