分布式可信执行环境的信息流控制

Anitha Gollamudi, Stephen Chong, Owen Arden
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引用次数: 13

摘要

分布式应用程序不能假设它们的安全策略将在不受信任的主机上执行。可信执行环境(tee)与加密机制相结合,支持在不受信任的主机上执行已知代码,并与之交换机密和经过身份验证的消息。然而,TEE并不建立在TEE中执行的代码的可信度。因此,使用tee开发安全的应用程序需要专门的专业知识和仔细的审计。本文提出了DFLATE,一个基于tee的分布式应用的核心安全演算。DFLATE提供了高级抽象,反映了它们所基于的底层安全机制的保证和限制。在我们的形式化结果中,这些抽象的准确性通过保密性和完整性之间的不对称表现出来:DFLATE为保密性强制了一种强形式的不干扰,但仅为完整性强制了一种弱形式。这反映了TEE安全保证的不对称性:恶意主机不能访问TEE中的秘密或修改其内容,但它们可以抑制或操纵其输入和输出的顺序。因此,DFLATE不能防止对高完整性消息的抑制,但是当这些消息被传递时,它们的内容不能受到攻击者的影响。
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Information Flow Control for Distributed Trusted Execution Environments
Distributed applications cannot assume that their security policies will be enforced on untrusted hosts. Trusted execution environments (TEEs) combined with cryptographic mechanisms enable execution of known code on an untrusted host and the exchange of confidential and authenticated messages with it. TEEs do not, however, establish the trustworthiness of code executing in a TEE. Thus, developing secure applications using TEEs requires specialized expertise and careful auditing. This paper presents DFLATE, a core security calculus for distributed applications with TEEs. DFLATE offers high-level abstractions that reflect both the guarantees and limitations of the underlying security mechanisms they are based on. The accuracy of these abstractions is exhibited by asymmetry between confidentiality and integrity in our formal results: DFLATE enforces a strong form of noninterference for confidentiality, but only a weak form for integrity. This reflects the asymmetry of the security guarantees of a TEE: a malicious host cannot access secrets in the TEE or modify its contents, but they can suppress or manipulate the sequence of its inputs and outputs. Therefore DFLATE cannot protect against the suppression of high-integrity messages, but when these messages are delivered, their contents cannot have been influenced by an attacker.
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