ADAM-CS: Advanced Asynchronous Monotonic Counter Service

André Martin, Cong Lian, Franz Gregor, R. Krahn, V. Schiavoni, P. Felber, C. Fetzer
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引用次数: 6

Abstract

Trusted execution environments (TEEs) offer the technological breakthrough to allow several applications to be deployed and executed over untrusted public cloud environments. Although TEEs (e. g., Intel SGX, ARM TrustZone, AMD SEV) provide several mechanisms to ensure confidentiality and integrity of data and code, they do not offer freshness out of the box, a critical aspect yet often overlooked, for instance, to protect against rollback attacks. Monotonic counters are a popular way to detect rollbacks, as their counter values cannot be decremented. However, counter increments are slow (i.e., 10th of milliseconds), making their use impractical for distributed services and applications processing thousands of transactions simultaneously, for which an order of magnitude improvement is needed. ADAM-CS is an asynchronous monotonic counter service to protect such high-traffic applications against rollback attacks. Leveraging a set of distributed monotonic counters and specific algorithms, ADAM-CS minimizes the maximum vulnerability window (MVW), i.e., the amount of transactions an adversary could successfully rollback. Thanks to its asynchronous nature, ADAM-CS supports thousands of increments per second without introducing additional latency in the transactions performed by applications. Our measurements indicate that we can keep the MVW well below 10ms while supporting a throughput of more than 21K requests/s when using eight counters.
高级异步单调计数器服务
可信执行环境(tee)提供了技术突破,允许在不受信任的公共云环境上部署和执行多个应用程序。虽然tee(例如,Intel SGX, ARM TrustZone, AMD SEV)提供了几种机制来确保数据和代码的机密性和完整性,但它们不提供开箱即用的新鲜感,这是一个经常被忽视的关键方面,例如,防止回滚攻击。单调计数器是检测回滚的常用方法,因为它们的计数器值不能递减。然而,计数器增量很慢(例如,十分之一毫秒),这使得它们对于同时处理数千个事务的分布式服务和应用程序来说不切实际,这需要一个数量级的改进。ADAM-CS是一种异步单调计数器服务,用于保护此类高流量应用程序免受回滚攻击。利用一组分布式单调计数器和特定算法,ADAM-CS最小化了最大漏洞窗口(MVW),即攻击者可以成功回滚的事务数量。由于其异步特性,ADAM-CS支持每秒数千个增量,而不会在应用程序执行的事务中引入额外的延迟。我们的测量表明,当使用8个计数器时,我们可以将MVW保持在远低于10ms的水平,同时支持超过21K请求/s的吞吐量。
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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