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Secret program execution in the cloud applying homomorphic encryption

机译:云中的秘密程序执行应用同性恋加密

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A growing number of compute and data storage jobs is performed on remote resources. In a cloud environment the customer can't be sure where a particular job is physically executed and thus cannot rely on the security and confidentiality of the remote resource. A solution for this problem is operating on encrypted functions and encrypted data. This enables a customer to generate a program that can be executed by a third party, without revealing the underlying algorithm or the processed data. This helps securing applications and data in a distributed digital ecosystem. We present a method to compute a secret program on an untrusted resource using fully homomorphic encrypted circuits. We sketch an algebraic homomorphism as a cryptographic foundation and define a sample system architecture for which we provide a software implementation. Our concept solves the problems of encrypted storage access with encrypted addresses and encrypted branching: in contrast to other approaches, like static one-pass circuit simulations, our system supports dynamic parameters and non-linear programs, that render branch-decisions at runtime and cannot be represented in a circuit with hard-wired in-circuit parameters and data. Our implementation comprises the runtime environment for an encrypted program and an assembler to generate the encrypted machine code.
机译:在远程资源上执行越来越多的计算和数据存储作业。在云环境中,客户无法确定特定作业的物理执行,因此不能依赖于远程资源的安全性和机密性。此问题的解决方案是在加密功能和加密数据上运行。这使客户能够生成可以由第三方执行的程序,而不会显示底层算法或已处理的数据。这有助于保护分布式数字生态系统中的应用程序和数据。我们使用完全同态加密电路介绍一种在不受信任的资源上计算秘密程序的方法。我们将代数同性恋作为加密基础绘制,并定义了我们提供软件实现的示例系统架构。我们的概念解决了加密地址和加密分支的加密存储访问的问题:与其他方法相比,如静态单通电路模拟,我们的系统支持动态参数和非线性程序,在运行时呈现分支决策,不能在具有硬线路式内部参数和数据的电路中表示。我们的实现包括加密程序和汇编程序的运行时环境,以生成加密的机器代码。

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