Researchers and practitioners often face the issue of having to attribute an IP address to an organization. For current data this is comparably easy, using services like whois or other databases. Similarly, for historic data, several entities like the RIPE NCC provide websites that provide access to historic records. For large-scale network measurement work, though, researchers often have to attribute millions of addresses. For current data, Team Cymru provides a bulk whois service which allows bulk address attribution. However, at the time of writing, there is no service available that allows historic bulk attribution of IP addresses. Hence, in this paper, we introduce and evaluate our 'Back-to-the-Future whois' service, allowing historic bulk attribution of IP addresses on a daily granularity based on CAIDA Routeviews aggregates. We provide this service to the community for free, and also share our implementation so researchers can run instances themselves.

翻译：研究人员和从业者往往面临将IP地址归属于一个组织的问题。对于目前的数据来说,这相当容易,使用像谁或其他数据库这样的服务。同样,对于历史数据来说,像RIPE NCC这样的几个实体提供访问历史记录的网站。对于大规模网络测量工作来说,研究人员往往必须提供数百万个地址。对于当前数据,Cymru小组提供大宗用户服务,允许批量地址归属。然而,在撰写本报告时,没有任何服务可以允许将IP地址历史性的批量归属于谁。因此,在本文件中,我们介绍并评估了我们的“Back-to-Future whore”服务,允许基于CAIDA路景群集的每日颗粒式将IP地址历史批量归属于谁。我们免费向社区提供这种服务,并分享我们的工作成果,以便研究人员能够自己运行实例。