AppClassNet - A commercial-grade dataset for application identification research

<br> <strong>AppClassNet </strong>is a <strong>commercial-grade dataset</strong> that represent a realistic benchmark for the use-case of traffic classification and management. <br> The AppClassNet dataset is complemented by <strong>companion artifacts </strong>containing baseline code to train and test state of the art baseline models for a quick boostrap. <br> A description of the dataset, the expected performance of the baseline models, the allowed and forbidden usages of the dataset, and more is available in a<strong> companion technical report [1]</strong> <br> <strong>[1] https://dl.acm.org/doi/10.1145/3561954.3561958 </strong> <br><strong>AppClassNet</strong> 是一款<strong>商用级数据集（commercial-grade dataset）</strong>，可作为流量分类与管理场景的真实基准测试集。<br> 该数据集辅以<strong>配套附属资源（companion artifacts）</strong>，其中包含用于训练与测试当前最优基线模型的基础代码，可助力用户快速搭建实验环境。<br> 关于该数据集的详细说明、基线模型的预期性能表现、数据集的允许与禁止使用规范等更多内容，均可查阅<strong>配套技术报告[1]</strong>。<br> <strong>[1] https://dl.acm.org/doi/10.1145/3561954.3561958</strong>

搜集汇总

背景与挑战

背景概述

AppClassNet是一个商业级别的数据集，专注于应用程序识别研究，提供流量分类和管理的基准测试数据，并包含配套的基线代码和技术报告以支持快速启动和模型测试。