定时撤销用户数据:现有基础架构的过期时间过长

Sirke Reimann, Markus Dürmuth
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引用次数: 15

摘要

在过去的几年里,我们处理信息的方式发生了巨大的变化。越来越多的私人数据被发布在互联网上,与此同时,我们存储和处理数据的能力也大大提高了。以前有人提出过通过在数字数据上设置“截止日期”来防止大规模数据收集的系统,但它们要么只支持很短的几天的截止时间(如Vanish和EphPub),要么需要额外的基础设施(如FaceCloak和X-pire)。我们建议一个系统(i)实现几个月的过期时间,并且(ii)仅基于现有基础设施;据我们所知,这是第一个同时具有这两种性质的系统。我们利用许多网页随时间不断变化的事实:我们从随机网页中提取几个密钥共享,并使用阈值秘密共享方案来重建正确的密钥,如果有足够的网页尚未更改。几个月后,足够多的网页发生了变化,完全隐藏了密钥。在近一年的时间里,我们收集了大量随机网页样本的网页变化统计数据,并表明几个月的过期时间可以可靠地实现。
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Timed revocation of user data: long expiration times from existing infrastructure
The way we deal with information has changed significantly over the last years. More and more private data is published on the Internet, and at the same time our capacity to store and process data has vastly increased. Systems to prevent a large-scale data collection by placing an "expiration date" on digital data have been proposed before, but either they only support very short expiration times of a few days (such as Vanish and EphPub), or they require additional infrastructure (such as FaceCloak and X-pire). We propose a system that (i) implements expiration times of several month and does this (ii) based on existing infrastructure only; to the best of our knowledge this is the first system to have both properties at the same time. We exploit the fact that many webpages continuously change over time: We extract several key-shares from random webpages and use a threshold secret sharing scheme to reconstruct the correct key if enough webpages have not yet changed. After several month, enough webpages have changed to completely hide the key. For almost a year, we have collected statistics about the changes of webpages on a large random sample of webpages and have shown that expiration times of several month can be implemented reliably.
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