符合GDPR移动接入网络数据集的嫌疑人回顾性跟踪

Louis Tajan, D. Westhoff
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引用次数: 3

摘要

本工作讨论了几个需要隐私的事后移动设备跟踪用例,例如,由于客户保密协议和来自政府机构以及移动电信提供商的数据敏感性。我们认为,我们提出的基于布隆过滤器的隐私方法是该领域出现的通用数据保护条例(GDPR)要求的有价值的技术构建块。简而言之,我们应用了一个基于Bloom过滤器数据结构的解决方案,该解决方案允许第三方在移动电信公司的访问日志文件或来自收集方的其他移动访问日志文件上执行一些隐私保存集关系,而不会泄露移动基站附近的任何其他移动用户,但仍然允许跟踪肇事者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Retrospective Tracking of Suspects in GDPR Conform Mobile Access Networks Datasets
This work discusses several use cases of post-mortem mobile device tracking in which privacy is required e.g. due to client-confidentiality agreements and sensibility of data from government agencies as well as mobile telecommunication providers. We argue that our proposed Bloom filter based privacy approach is a valuable technical building block for the arising General Data Protection Regulation (GDPR) requirements in this area. In short, we apply a solution based on the Bloom filters data structure that allows a 3rd party to perform some privacy saving set relations on a mobile telco's access logfile or other mobile access logfile from harvesting parties without revealing any other mobile users in the proximity of a mobile base station but still allowing to track perpetrators.
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