cloudscopy:服务发现和拓扑映射

A. Herzberg, Haya Schulmann, Johanna Ullrich, E. Weippl
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引用次数: 28

摘要

我们定义并研究云检查,即,暴露有关(受害者)云服务位置和/或云网络内部组织的敏感信息,尽管云提供商努力隐藏位置。典型的云检查攻击由几个步骤组成:首先暴露受害者实例的内部IP地址,然后测量其与敌对云实例的跳数距离,最后测试以找到一个足够接近受害者(例如,共同居民)的特定实例,以允许(拒绝服务或侧通道)攻击。我们将这种云镜攻击涉及的三个步骤/模块称为IP地址去匿名化、跳数测量和共居测试。我们提出了这三个云镜模块的具体方法,并报告了我们在流行云平台提供商上的实验验证结果。我们的技术可用于攻击(受害者)服务器,也可用于良性目标,例如,优化实例放置和通信,或比较云并验证云提供商放置保证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cloudoscopy: services discovery and topology mapping
We define and study cloudoscopy, i.e., exposing sensitive information about the location of (victim) cloud services and/or about the internal organisation of the cloud network, in spite of location-hiding efforts by cloud providers. A typical cloudoscopy attack is composed of a number of steps: first expose the internal IP address of a victim instance, then measure its hop-count distance from adversarial cloud instances, and finally test to find a specific instance which is close enough to the victim (e.g., co-resident) to allow (denial of service or side-channel) attacks. We refer to the three steps/modules involved in such cloudoscopy attack by the terms IP address deanonymisation, hop-count measuring, and co-residence testing. We present specific methods for these three cloudoscopy modules, and report on results of our experimental validation on popular cloud platform providers. Our techniques can be used for attacking (victim) servers, as well as for benign goals, e.g., optimisation of instances placement and communication, or comparing clouds and validating cloud-provider placement guarantees.
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