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Interference-based VM Migration to Mitgate Cache-based Side-channel Attacks in Cloud

机译:基于干扰的VM迁移可缓解云中基于缓存的侧通道攻击

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Co-residency of different clients' VMs on the same hardware platform puts users at risk of cache-based side-channel attacks in cloud. While current countermeasures fail to be general and precise, we observe that cache behaviors of co-resident VMs interfere with each other. So we set up a novel cache interference model which precisely depicts how a bystander's behavior affects cache side channels between VMs. Based on this model, we propose an interference-based VM migration strategy to defend against cache attacks by co-locating multiple VMs so as to maximize the effect of one VM's cache activities on disrupting the cache access pattern of another VM which might be utilized by side-channel attackers. Simulation result shows that our approach is effective against cache attacks by improving the average interference ratio by about 35%.
机译:同一硬件平台上不同客户端的VM的共存使用户面临云中基于缓存的侧通道攻击的风险。尽管当前的对策无法通用和精确,但我们观察到共存VM的缓存行为会相互干扰。因此,我们建立了一个新颖的缓存干扰模型,该模型精确地描述了旁观者的行为如何影响虚拟机之间的缓存侧通道。基于此模型,我们提出了一种基于干扰的VM迁移策略,通过将多个VM并置来防御缓存攻击,从而最大程度地发挥一个VM的缓存活动对破坏另一VM可能使用的缓存访问模式的影响。旁道攻击者。仿真结果表明,通过将平均干扰率提高约35%,我们的方法可以有效地抵抗缓存攻击。

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