全球50个国家的合成浏览历史:用于研究,开发和教育的数据集.
Dan Komosny1, Saeed Ur Rehman2, Muhammad Sohaib Ayub3
1Department of Telecommunications, Brno University of Technology, Brno, Czech Republic. komosny@vut.cz.
Scientific data
|January 22, 2025
概括
这项研究介绍了来自50个国家的500个合成浏览历史记录,以真实用户数据解决隐私问题. 这些合成数据集使网络安全和研究能够在不损害用户匿名的情况下实现.
科学领域:
- 计算机科学 计算机科学
- 网络安全 网络安全
- 数据科学数据科学数据科学
背景情况:
- 用户浏览历史记录对研究有价值,但也引发了隐私问题.
- 浏览数据的匿名化技术已经被证明是不够的,冒着重新识别的风险.
- 使用个人数据的知情同意是法律要求的,并且通常很难获得.
研究的目的:
- 为了生成合成浏览历史的多样化数据集.
- 为研究和开发提供保护隐私的替代真实浏览数据.
- 为满足社区对跨国浏览数据的需求.
主要方法:
- 实际浏览数据被用作合成数据生成的基础.
- 转型标准包括网站内容,受欢迎程度,地区和语言.
- 为50个国家创建了合成历史记录,在一个月内保持访问顺序.
主要成果:
- 成功生成了500个合成浏览历史记录的数据集.
- 历史是国家特定的,反映真实世界的浏览模式.
- 合成数据可供不受限制地使用.
结论:
- 合成浏览历史为隐私敏感的研究提供了可行的解决方案.
- 这一数据集促进了网络安全,人工智能开发和教育工具的进步.
- 无限制的可用性促进了更广泛的研究和创新.
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