Gaming Network Traffic Dataset

Gaming consoles are very common connected devices which have evolved in functionality and applications (games and beyond) they support. This diversity of traffic generated from these consoles has diverse quality of service (QoS) requirements. However, in order to offer diverse QoS, ISPs and operators must be able to classify this traffic. To enable research in traffic classification (Machine Learning based or other), we have generated and collected this dataset. This is a labelled dataset collected from a gaming console, PlayStation 4. The data was collected for a period of 2 weeks from July 26, 2020 till August 12, 2020. The data was collected 3 times a day (morning, afternoon, evening). There is a total of 41 rounds of data collection.游戏主机是极为普及的联网设备，其支持的功能与应用场景（游戏及其他领域）已实现长足演进。这类设备产生的流量具有多样化的服务质量（Quality of Service, QoS）需求。然而，为了提供多样化的服务质量保障，互联网服务提供商（Internet Service Provider, ISP）与运营商需能够对这类流量进行分类识别。为支撑流量分类（基于机器学习或其他方法）相关研究，我们构建并采集了本数据集。本数据集为标注数据集，采集自PlayStation 4游戏主机。数据采集周期为2020年7月26日至2020年8月12日，共计两周。每日开展三次数据采集，时段分别为早间、午后与晚间，累计完成41轮数据采集。