利用DRAM刷新保护云芯片多处理器的内存时序通道

Ying Wang, Wen Li, Huawei Li, Xiaowei Li
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引用次数: 0

摘要

单片云计算(SCC)处理器的共享内存控制器容易受到时信道攻击。现有的基于固定内存带宽分配的保护策略降低了处理器的性能,严重损害了云用户的体验。针对云芯片多处理器(cmp)共享存储器控制器的侧信道攻击和隐蔽信道攻击,提出了一种新的轻量级定时信道保护方案。而不是强制一个固定的时隙分配给应用程序,我们走了一个完全不同的技术路线,并利用后台DRAM刷新作为一个自由噪声源,以消除受害者和攻击者应用程序之间的时间相关性。所提出的保护框架MemJam依赖于新兴的细粒度刷新技术来实现定时信道混淆的效果。使用在云CMP中运行的多编程工作负载来评估保护方法。结果表明,轻量级的基于刷新的噪声可以有效地阻塞用户应用程序之间的时序通道,与先前的解决方案相比,内存性能提升高达1.61~2.49倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Leveraging DRAM Refresh to Protect the Memory Timing Channel of Cloud Chip Multi-processors
The shared memory controllers of single-chip cloud computing (SCC) processors are vulnerable to timing-channel attacks. Existing protection strategies based on fixed memory bandwidth assignment degrade processor performance and severely harm the experience of cloud-users. This paper proposes a novel light-weight timing channel protection scheme against both side channel and covert channel attacks to the shared memory controllers of cloud chip multi-processors (CMPs). Instead of enforcing a fixed time-slot assignment to the applications, we go an entirely different technical route and utilize the background DRAM refresh as a free noise source to eliminate the time correlation between victim and attacker applications. The proposed protection framework, MemJam, relies on the emerging fine-grained refresh technology to achieve the effects of timing channel obfuscation. Multi-programmed workloads running in a cloud CMP were used to evaluate the protection method. The results show that the light-weight refresh-based noise can effectively block the timing-channel between user applications, and achieve up to 1.61~2.49X memory performance boost compared to prior solutions.
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