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Turing Machines with Shortcuts: Efficient Attribute-Based Encryption for Bounded Functions

机译:具有快捷方式的计算机:基于高效的基于属性的界限加密

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摘要

We propose a direct construction of attribute-based encryption (ABE) scheme for bounded multi-stack deterministic pushdown automata (DPDAs) and Turing machines that have polynomial runtime in the security parameter. Particularly, we show how to extend our construction to handle bounded DPDAs with two or more stacks, which leads to an ABE scheme for deterministic Turing machines (DTMs) with polynomial runtime. Our ABE schemes have "input-specific" decryption runtime meaning that the decryption time depends on the semantics of attributes. If a machine halts prematurely on a certain input, its execution can be cut short. To the best of our knowledge, our ABE scheme is the first one that achieves this property and has security proofs based on standard cryptographic assumption. The key technical ingredient we apply is a special graph encoding on the executions of bounded DPDAs with multi-stacks, allowing us to remember just enough of the execution history to enforce correct evaluation. The security of our scheme is shown to be based on the learning with errors (LWE) problem in the selective security model.
机译:我们提出了直接构建基于属性的加密(ABE)方案,用于有界多堆栈确定性推动自动机(DPDA)以及安全参数中具有多项式运行时的图定机器。特别是,我们展示了如何扩展我们的施工以处理具有两个或更多堆栈的有界DPDA,这导致具有多项式运行时间的确定性图灵机(DTM)的ABE方案。我们的ABE方案具有“特定于输入的”解密运行时,这意味着解密时间取决于属性的语义。如果机器过早地停止某个输入,则可以切割其执行。据我们所知,我们的ABE计划是第一个实现这一财产,并根据标准加密假设具有安全证明。我们应用的关键技术成分是在具有多堆栈的有界DPDA的执行中编码的特殊图表,允许我们记住足够的执行历史,以强制执行正确的评估。我们的计划的安全性被证明基于选择性安全模型中的错误(LWE)问题的学习。

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