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Drupal's Fight Against Spam with Browser Fingerprinting Technology
技术
- 分析与建模 - 机器人过程自动化 (RPA)
- 基础设施即服务 (IaaS) - 云数据库
适用行业
- 电子产品
- 设备与机械
适用功能
- 产品研发
用例
- 库存管理
- 时间敏感网络
服务
- 云规划/设计/实施服务
挑战
Drupal.org 是一个由超过 100 万开发人员、设计师、培训师、策略师、协调员、编辑和赞助商组成的社区，面临着垃圾邮件的重大挑战。垃圾邮件发送者创建虚假帐户，在 Drupal.org 网站上发布垃圾内容，该网站的 Google PageRank 为 9，令人垂涎。这种垃圾邮件损害了 Drupal 品牌，并有降低其 PageRank 值的风险。垃圾邮件不是自动发送的，而是由真人发布的，因此更难缓解。工作人员和社区志愿者必须花费大量时间手动识别和删除垃圾邮件，有些人花费了多达一半的工作日来完成这项任务。此外，垃圾邮件发送者帐户扭曲了社区参与度指标，使得很难衡量社区的实际增长和参与度。垃圾邮件还占用了数据库和备份中不必要的空间。
关于客户
Drupal.org 是一个支持 Drupal 开发项目的社区，Drupal 开发项目是一个用于创建许多网站和应用程序的开源内容管理软件。该社区由超过 100 万开发人员、设计师、培训师、战略家、协调员、编辑和赞助商组成，他们共同构建 Drupal 软件、提供支持、创建文档、共享网络机会等。由 Drupal.org 管理的网站是此开发工作的主要聚集点。该社区是世界上最大的开源开发社区之一，共同致力于开源精神。
解决方案
Drupal.org 需要一种解决方案来减少清理垃圾邮件所花费的时间。最初，他们尝试使用 Mollom 和名为 Honeypot 的 Drupal 模块进行内容过滤，但这些对人类垃圾邮件发送者无效。然后，他们决定与 Imperva Bot Management（以前称为 Distil Networks）合作。 Drupal.org 上的帐户注册过程通过 Imperva Cloud CDN 运行，该 CDN 收集每个新帐户的设备指纹。这一过程揭示了有助于识别和减少垃圾邮件发送者数量的信息。 Imperva 的数据显示，大约 10% 的新帐户显示出与垃圾邮件发送者有关的迹象，并且只有大约 200 至 300 名不良行为者创建了所有不良帐户。 Drupal.org 添加了一个手动步骤，可以更仔细地评估具有重复指纹的帐户，从而减少处理垃圾邮件所花费的时间。
运营影响
数量效益
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