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Secure Outsourcing Algorithms of Modular Exponentiations in Edge Computing

机译:边缘计算中模块化指数的安全外包算法

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As one of the most expensive computations in public-key cryptosystems, modular exponentiation is typically out-sourced to the cloud servers. Traditional cloud-based outsourcing algorithms depend on multiple untrusted servers to guarantee the security, which may lead to vulnerability to the collusion attack. Although recent single-server multiple-requests outsourcing algorithms are more secure, they have to perform multiple requests to the single untrusted server to guarantee the security and checkability of the data, which will incur unacceptable latency and local computational costs. In comparison, the edge computing paradigm enhances security since it has multiple computational nodes, including some highly secure local computational nodes. In this paper, we propose the secure outsourcing algorithm of modular exponentiation for the edge computing paradigm. To address the dilemma that the computational resources of different nodes vary significantly, we design two lightweight algorithms to adaptively separate the modular exponentiation to the nodes based on the computational resources. To guarantee the outsourcing checkability, we propose a protocol verify the result returned from each node. We formally prove the security and checkability of our algorithm and validate the efficiency of our algorithm based on experiments and case studies.
机译:作为公钥密码系统中最昂贵的计算之一,模块化指数通常会源于云服务器。传统的基于云的外包算法依赖于多个不受信任的服务器来保证安全性,这可能导致频体攻击漏洞。虽然最近的单服务器多个请求外包算法更安全,但它们必须对单个不可雕刻服务器执行多个请求以保证数据的安全性和可检测,这将产生不可接受的延迟和局部计算成本。相比之下,边缘计算范例增强了安全性,因为它具有多个计算节点,包括一些高度安全的本地计算节点。在本文中,我们提出了用于边缘计算范式的模块化指数的安全外包算法。为了解决不同节点的计算资源的困境显着变化,我们设计了两个轻量级算法,以基于计算资源将模块化指数与节点自适应分离到节点。为了保证外包可验证性,我们提出了一个协议验证每个节点返回的结果。我们正式证明了我们算法的安全性和可检测性,并根据实验和案例研究验证了我们算法的效率。

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