CATalyst: Defeating last-level cache side channel attacks in cloud computing
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Date
2016
Authors
Liu, F.
Ge, Q.
Yarom, Y.
McKeen, F.
Rozas, C.
Heiser, G.
Lee, R.
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Conference paper
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Proceedings - International Symposium on High-Performance Computer Architecture, 2016, vol.2016-April, pp.406-418
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Fangfei Liu, Qian Ge, Yuval Yarom, Frank Mckeen, Carlos Rozas, Gernot Heiser, Ruby B. Lee
Conference Name
22nd IEEE International Symposium on High-Performance Computer Architecture (HPCA) (12 Mar 2016 - 16 Mar 2016 : Barcelona, Spain)
Abstract
Cache side channel attacks are serious threats to multi-tenant public cloud platforms. Past work showed how secret information in one virtual machine (VM) can be extracted by another co-resident VM using such attacks. Recent research demonstrated the feasibility of high-bandwidth, lownoise side channel attacks on the last-level cache (LLC), which is shared by all the cores in the processor package, enabling attacks even when VMs are scheduled on different cores. This paper shows how such LLC side channel attacks can be defeated using a performance optimization feature recently introduced in commodity processors. Since most cloud servers use Intel processors, we show how the Intel Cache Allocation Technology (CAT) can be used to provide a system-level protection mechanism to defend from side channel attacks on the shared LLC. CAT is a waybased hardware cache-partitioning mechanism for enforcing quality-of-service with respect to LLC occupancy. However, it cannot be directly used to defeat cache side channel attacks due to the very limited number of partitions it provides. We present CATalyst, a pseudo-locking mechanism which uses CAT to partition the LLC into a hybrid hardwaresoftware managed cache. We implement a proof-of-concept system using Xen and Linux running on a server with Intel processors, and show that LLC side channel attacks can be defeated. Furthermore, CATalyst only causes very small performance overhead when used for security, and has negligible impact on legacy applications.
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© 2016 IEEE