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It's Time to Migrate! A Game-Theoretic Framework for Protecting a Multi-Tenant Cloud against Collocation Attacks

机译:现在该迁移了!一个博弈论框架,用于保护多租户云免受配置攻击

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We present a novel game-theoretic framework for the Virtual Machine (VM) migration timing problem. In a multi-tenant cloud, a number of VMs are collocated on the same physical machine. This increases the risk of a malicious VM performing side-channel attacks and leaking sensitive information. To this end, this paper develops and analyzes a game-theoretic framework for the timing problem in which the cloud provider decides when to migrate a VM to a different physical machine to reduce the risk of being compromised by a collocated malicious VM. The adversary decides the rate at which she launches new VMs to collocate with the victim VMs. Our formulation captures a data leakage model in which the cost incurred by the cloud provider depends on the duration of collocation as well as the overhead in migration. We establish sufficient conditions for the existence of Nash equilibria for general cost functions, as well as for specific instantiations, and characterize the best response for both players. Our theoretical findings are corroborated with extensive numerical results in various settings.
机译:我们为虚拟机(VM)迁移时序问题提出了一种新颖的博弈论框架。在多租户云中,多个VM并置在同一台物理计算机上。这增加了恶意VM执行侧通道攻击和泄露敏感信息的风险。为此,本文针对时序问题开发并分析了一个博弈论框架,在该框架中,云提供商决定何时将VM迁移到其他物理机上,以减少被并置的恶意VM危害的风险。对手决定她启动新VM并与受害VM搭配的速率。我们的公式描述了一个数据泄漏模型,其中云提供商所产生的成本取决于并置的持续时间以及迁移的开销。我们为一般成本函数以及特定的实例化建立了纳什均衡存在的充分条件,并为两个参与者确定最佳响应。我们的理论发现在各种情况下均得到了广泛的数值结果的佐证。

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