2 research outputs found

    On obfuscating compilation for encrypted computing

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    Copyright © 2017 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved. This paper sets out conditions for privacy and security of data against the privileged operator on processors that 'work encrypted'. A compliant machine code architecture plus an 'obfuscating' compiler turns out to be both necessary and sufficient to achieve that, the combination mathematically assuring the privacy of user data in arbitrary computations in an encrypted computing context

    Chaotic Compilation for Encrypted Computing: Obfuscation but Not in Name

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    An `obfuscation' for encrypted computing is quantified exactly here, leading to an argument that security against polynomial-time attacks has been achieved for user data via the deliberately `chaotic' compilation required for security properties in that environment. Encrypted computing is the emerging science and technology of processors that take encrypted inputs to encrypted outputs via encrypted intermediate values (at nearly conventional speeds). The aim is to make user data in general-purpose computing secure against the operator and operating system as potential adversaries. A stumbling block has always been that memory addresses are data and good encryption means the encrypted value varies randomly, and that makes hitting any target in memory problematic without address decryption, yet decryption anywhere on the memory path would open up many easily exploitable vulnerabilities. This paper `solves (chaotic) compilation' for processors without address decryption, covering all of ANSI C while satisfying the required security properties and opening up the field for the standard software tool-chain and infrastructure. That produces the argument referred to above, which may also hold without encryption.Comment: 31 pages. Version update adds "Chaotic" in title and throughout paper, and recasts abstract and Intro and other sections of the text for better access by cryptologists. To the same end it introduces the polynomial time defense argument explicitly in the final section, having now set that denouement out in the abstract and intr
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