托管云服务的网络级隐私

S. Natarajan, T. Wolf
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引用次数: 2

摘要

云基础设施提供商允许在共享的物理基础设施上托管多个服务。在典型的虚拟化和多租户环境中,云基础设施和托管云服务由不同的管理实体管理,这些管理实体可能互不信任。在这种情况下,云服务提供商可能会犹豫是否向基础设施提供商披露操作信息。在本文中,我们提出了加密IP (EncrIP),这是一种网络级设计考虑,用于加密IP地址,隐藏有关云服务中终端系统通信的信息,同时仍然允许在商品路由器中使用最长前缀匹配进行数据包转发。通过概率加密,EncrIP可以避免观察者识别出哪些流量属于相同的源-目的对。我们的评估结果表明,EncrIP在流量进出云网络基础设施的网关上只需要几MB的内存。在GENI上使用标准IP头的EncrIP原型实现中,统计推断攻击识别属于同一会话的数据包的成功概率小于0.001%。因此,我们相信EncrIP为保护多租户云网络基础设施中的隐私提供了一个实用的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Network-level privacy for hosted cloud services
Cloud infrastructure providers allow multiple services to be hosted on a shared physical infrastructure. In a typical virtualized and multi-tenant environment, the cloud infrastructure and the hosted cloud services are managed by different administrative entities that may not trust each other. In such a scenario, the cloud service providers might hesitate to disclose operational information to the infrastructure providers. In this paper, we present Encrypted IP (EncrIP), a network-level design consideration for encrypting IP addresses that hides information about which end-systems are communicating in a cloud service, while still allowing packet forwarding with longest-prefix match in commodity routers. Using probabilistic encryption, EncrIP can avoid that an observer can identify what traffic belongs to the same source-destination pairs. Our evaluation results show that EncrIP requires only a few MB of memory on the gateways where traffic enters and leaves the cloud network infrastructure. In our prototype implementation of EncrIP on GENI, which uses standard IP headers, the success probability of a statistical inference attack to identify packets belonging to the same session is less than 0.001%. Therefore, we believe EncrIP presents a practical solution for protecting privacy in multi-tenant, cloud network infrastructure.
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