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Efficient and Secure Outsourcing Scheme for RSA Decryption in Internet of Things

机译:用于物联网RSA解密的高效和安全的外包计划

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摘要

Rivest-Shamir-Adleman (RSA) is one of the widely deployed public-key algorithms. Yet, its decryption facet is very time consuming for resource-constrained Internet-of-Thing (IoT) devices, as it is based on the modular exponentiation of a large number. Although several variants of RSA have been designed to accelerate decryption, the outcomes have been far from satisfactory. Therefore, it is of imminent importance to investigate how to securely outsource RSA decryption to computational powerful parties as an alternative solution. In this article, we introduce the first efficient and secure outsourcing scheme for RSA decryption in IoT. Though RSA decryption is achieved via modular exponentiation, existing secure outsourcing schemes for modular exponentiation either assume the modulus to be prime and are not applicable to RSA or incur massive computation costs and are heavy laden in practice. To address these issues, we have designed our scheme based on the Chinese remainder theorem (CRT). In our scheme, the private keys (including the exponent and the modulus) and the plaintext are concealed concurrently, and the proposed scheme is highly efficient for both client and cloud. In addition, our scheme enables the client to detect any misbehavior of the cloud server with a probability of 99.17%. To validate the effectiveness of our proposed scheme, we provide rigorous proofs of security and verifiability, as well as efficiency analysis. The effectiveness and efficiency of our scheme are further confirmed based on experimental results.
机译:Rivest-Shamir-Adleman(RSA)是广泛部署的公钥算法之一。然而,它的解密方面对于资源受限的无线网络(物联网)设备非常耗时,因为它基于大量的模块化指数。虽然RSA的几种变体被设计用于加速解密,但结果远非令人满意。因此,调查如何将RSA解密牢固地将RSA解密作为替代解决方案进行安全地将RSA解密核发出来。在本文中,我们介绍了IOT中的RSA解密的第一个有效和安全的外包方案。虽然通过模块化指数实现了RSA解密,但是用于模块化指数的现有安全外包方案假设模量是素数,并且不适用于RSA或巨大的计算成本,并且在实践中是沉重的载客。为了解决这些问题,我们设计了基于中国剩余定理(CRT)的计划。在我们的方案中,私钥(包括指数和模数)和明文并发隐藏,并且所提出的方案对于客户端和云高效。此外,我们的方案使客户能够检测云服务器的任何不当行为,概率为99.17%。为了验证我们拟议计划的有效性,我们提供严格的安全和可验证证明,以及效率分析。我们的计划的有效性和效率基于实验结果进一步证实。

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