Path to Encrypted DNS with DDR: Adoption, Configuration Patterns, and Privacy Implications - Data from DoE-Hunter

This upload contains the data used for the paper "Path to Encrypted DNS with DDR: Adoption, Configuration Patterns, and Privacy Implications" at PETS 2025. The upload is a tar archive containing the results from DoE-Hunter in the "data" directory. These are in the form of a mongodump and can be restored into a running mongo database using the docker compose file. The dataset contains scans of resolvers from July to November 2024. How to use? Extract the file popets-data.tar.gz. Execute docker compose up within the folder. Wait until the data is restored in MongoDB (see log). This is only done once, not on every container startup. You can either connect to the database via a MongoDB driver or you can just query the data via localhost:8081. Requirements You must have docker and docker-compose-v2 installed, see https://docs.docker.com/get-started/. Measurement Architecture The measurement architecture is open-source and can be found on GitHub (https://github.com/steffsas/doe-hunter/).本上传数据集包含发表于PETS 2025的论文《基于DDR的加密DNS发展路径：部署现状、配置模式与隐私影响》('Path to Encrypted DNS with DDR: Adoption, Configuration Patterns, and Privacy Implications')所使用的原始数据。 本上传文件为tar归档包，其data目录下存放了DoE-Hunter的扫描结果。这些数据以mongodump格式存储，可通过配套的Docker Compose文件恢复至正在运行的MongoDB数据库中。本数据集涵盖2024年7月至11月期间针对DNS解析器的扫描数据。 使用方法： 1. 解压popets-data.tar.gz文件。 2. 在解压后的目录中执行docker compose up命令。 3. 等待数据完成MongoDB恢复（可通过日志查看进度），该操作仅需执行一次，无需在每次容器启动时重复执行。 4. 您可通过MongoDB驱动程序连接至数据库，或直接通过localhost:8081查询数据。 环境依赖： 您需预先安装Docker与docker-compose-v2，安装指引可参考https://docs.docker.com/get-started/。 测量架构： 本测量架构为开源项目，源代码托管于GitHub（https://github.com/steffsas/doe-hunter/）。