NANCY SNS-JU project "Italtel Italian in-lab testbed dataset 2"

This Dataset provides input data for the development of the B-RAN and attacks models for the NANCY framework, to model training and model inference functions. The data collected in the Italian in-lab testbed, namely “dataset 2”, focus on the Edge segment of the network and consider the presence of some of the NANCY components, to assess their impact with respect to the baseline defined through the first collected dataset (D6.6 “Italian in-lab testbed dataset 1”), assessment that will be carried out and completed, together with the technology evaluation, in subsequent project activities. More specifically, the data collected in the Italtel Italian in-lab testbed, where a MEC assisted 5G network scenario with a video streaming application for generating traffic is provided, consider an Edge server based on ARMv8 CPU architecture, and some components specifically developed by the Partners for the NANCY project; these components are integrated in the Italtel environment and are part of the testbed topology set-up: · the “Anomaly detection application module”, provided by CRAT partner (Consortium for Research in Automation and Telecommunications) and focusing on detecting anomalous utilization of computing and network resources· the” VOSySmonitor and vManager”, provided by VOS (Virtual Open Systems), a novel virtualization technology, designed by NANCY, to host offloaded VNFs, which can be deployed in a bare-metal fashion ensuring “application isolation”· “Malicious traffic generation application” and “PAPI extension for ARM performance counter interaction”, provided by SSS (Sant'Anna Higher School of Pisa) for the technology validation in the context of the Italian testbed set-up· “Italtel VTU application”, provided by ITL, which can convert audio and video streams from one format to another, at multiple encodings schemes, changing resolution, bitrate, and video parameters.The dataset contains time series, collected by transmitting video content through the Italtel VTU application.The collected dataset is representative resource-intensive video traffic that has the greatest impact on 5G/B5G network planning and provisioning. The video streaming dataset includes data directly measured while watching the video on the mobile devices and data directly measured while generating downstream video stream traversing the gNB (i.e., downstream scenario), and vice versa (i.e., upstream scenario). In each experiment, we fixed the location of the UE and the gNB.

本数据集旨在为B-RAN及NANCY框架中的攻击模型开发提供输入数据，以支持模型训练与推理功能的构建。所收集的数据源自意大利实验室测试平台，即“数据集2”，专注于网络边缘部分，并考虑NANCY框架中某些组件的存在，以评估其对基准（通过首次收集的数据集D6.6“意大利实验室测试平台数据集1”定义）的影响。此项评估将在后续的项目活动中进行并完成，同时结合技术评估。具体而言，在Italtel意大利实验室测试平台收集的数据，其中提供了一个辅助5G网络的MEC场景，并包含视频流应用以生成流量，考虑了一个基于ARMv8 CPU架构的边缘服务器，以及合作伙伴为NANCY项目特别开发的某些组件；这些组件已集成到Italtel环境中，并成为测试平台拓扑设置的一部分：·由CRAT合作伙伴（自动化与电信研究联盟）提供的“异常检测应用程序模块”，专注于检测计算和网络资源的异常使用情况·由VOS（虚拟开放系统）提供的“VOSySmonitor和vManager”，VOS是一家设计新型虚拟化技术的公司，由NANCY提供，用于托管卸载的VNF，可以以裸机方式部署，确保“应用隔离”·由SSS（比萨圣安娜高等学府）提供的“恶意流量生成应用程序”和“PAPI扩展以与ARM性能计数器交互”，用于在意大利测试平台设置的技术验证·由ITL提供的“Italtel VTU应用程序”，可以将音频和视频流从一种格式转换为另一种格式，在多种编码方案中进行转换，改变分辨率、比特率和视频参数。该数据集包含通过Italtel VTU应用程序传输视频内容收集的时间序列数据。所收集的数据集代表了最具资源密集型的视频流量，对5G/B5G网络的规划和配置影响最大。视频流数据集包括在移动设备上观看视频时直接测量的数据和在生成下行视频流穿越gNB时直接测量的数据（即下行场景），反之亦然（即上行场景）。在每个实验中，我们固定了UE和gNB的位置。