VAULT

Q1 Computer Science ACM Sigplan Notices Pub Date : 2018-11-30 DOI:10.1145/3296957.3177155
Meysam Taassori, Ali Shafiee, R. Balasubramonian
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引用次数: 14

Abstract

Intel's SGX offers state-of-the-art security features, including confidentiality, integrity, and authentication (CIA) when accessing sensitive pages in memory. Sensitive pages are placed in an Enclave Page Cache (EPC) within the physical memory before they can be accessed by the processor. To control the overheads imposed by CIA guarantees, the EPC operates with a limited capacity (currently 128 MB). Because of this limited EPC size, sensitive pages must be frequently swapped between EPC and non-EPC regions in memory. A page swap is expensive (about 40K cycles) because it requires an OS system call, page copying, updates to integrity trees and metadata, etc. Our analysis shows that the paging overhead can slow the system on average by 5×, and other studies have reported even higher slowdowns for memory-intensive workloads. The paging overhead can be reduced by growing the size of the EPC to match the size of physical memory, while allowing the EPC to also accommodate non-sensitive pages. However, at least two important problems must be addressed to enable this growth in EPC: (i) the depth of the integrity tree and its cacheability must be improved to keep memory bandwidth overheads in check, (ii) the space overheads of integrity verification (tree and MACs) must be reduced. We achieve both goals by introducing a variable arity unified tree (VAULT) organization that is more compact and has lower depth. We further reduce the space overheads with techniques that combine MAC sharing and compression. With simulations, we show that the combination of our techniques can address most inefficiencies in SGX memory access and improve overall performance by 3.7×, relative to an SGX baseline, while incurring a memory capacity over-head of only 4.7%.
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Intel的SGX提供了最先进的安全特性,包括访问内存中的敏感页面时的机密性、完整性和身份验证(CIA)。在处理器访问敏感页面之前,它们被放置在物理内存中的Enclave Page Cache (EPC)中。为了控制中央情报局保证的开销,EPC的运行容量有限(目前为128 MB)。由于EPC大小有限,敏感页必须在内存中的EPC和非EPC区域之间频繁交换。页交换是昂贵的(大约40K周期),因为它需要操作系统调用、页面复制、更新完整性树和元数据等。我们的分析表明,分页开销会使系统平均降低5倍的速度,而其他研究报告显示,对于内存密集型工作负载,降低的速度甚至更高。通过增加EPC的大小以匹配物理内存的大小,同时允许EPC容纳非敏感页面,可以减少分页开销。然而,要实现EPC的这种增长,至少必须解决两个重要问题:(i)必须改进完整性树的深度及其可缓存性,以控制内存带宽开销;(ii)必须减少完整性验证(树和mac)的空间开销。我们通过引入更紧凑和更低深度的可变密度统一树(VAULT)组织来实现这两个目标。我们通过结合MAC共享和压缩的技术进一步减少了空间开销。通过模拟,我们表明,我们的技术组合可以解决SGX内存访问中的大多数低效率问题,并将总体性能提高3.7倍(相对于SGX基线),同时仅产生4.7%的内存容量开销。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACM Sigplan Notices
ACM Sigplan Notices 工程技术-计算机:软件工程
CiteScore
4.90
自引率
0.00%
发文量
0
审稿时长
2-4 weeks
期刊介绍: The ACM Special Interest Group on Programming Languages explores programming language concepts and tools, focusing on design, implementation, practice, and theory. Its members are programming language developers, educators, implementers, researchers, theoreticians, and users. SIGPLAN sponsors several major annual conferences, including the Symposium on Principles of Programming Languages (POPL), the Symposium on Principles and Practice of Parallel Programming (PPoPP), the Conference on Programming Language Design and Implementation (PLDI), the International Conference on Functional Programming (ICFP), the International Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA), as well as more than a dozen other events of either smaller size or in-cooperation with other SIGs. The monthly "ACM SIGPLAN Notices" publishes proceedings of selected sponsored events and an annual report on SIGPLAN activities. Members receive discounts on conference registrations and free access to ACM SIGPLAN publications in the ACM Digital Library. SIGPLAN recognizes significant research and service contributions of individuals with a variety of awards, supports current members through the Professional Activities Committee, and encourages future programming language enthusiasts with frequent Programming Languages Mentoring Workshops (PLMW).
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