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A Light-Weight White-Box Encryption Scheme for Securing Distributed Embedded Devices

机译:一种用于保护分布式嵌入式设备的轻量级白盒加密方案

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Distributed embedded devices are widely used in sensor networks and the Internet of Things for gathering and sending data. Many of them are deployed in an unattended manner (e.g., sensor nodes and tag readers), while others may be easily lost (e.g., smart wristbands and watches). These distributed embedded devices could be potentially captured and accessed in an unauthorized manner due to their physical natures. From a security perspective, they are typically working in the white-box attack context, where adversaries have total visibility on the implementations of built-in cryptosystems and full control over their execution processes. It is undoubtedly a significant challenge to deal with white-box attacks on these devices. Existing encryption algorithms for white-box attack contexts require large memory footprint and thus are not suitable for resource-constrained embedded devices. To address this challenge, we propose a novel light-weight encryption scheme for protecting data confidentiality. The encryption is conducted with specialized secret components, and the encryption algorithm requires a small volume of static data for storing critical information. In addition, this scheme uniquely supports efficient key-updating at very small cost. The security and the cost of the proposed scheme have been theoretically analyzed with positive results, and the extensive experimental evaluations indicate that the new scheme satisfies the requirements of distributed embedded devices in terms of limited memory usage and low computational cost.
机译:分布式嵌入式设备广泛用于传感器网络和用于收集和发送数据的物联网。其中许多以无人值守的方式部署(例如,传感器节点和标签读取器),而其他人可能很容易丢失(例如,智能腕带和手表)。由于其物理性质,可以以未经授权的方式捕获和访问这些分布式嵌入式设备。从安全角度来看,它们通常在白盒攻击背景下工作,而对其具有完全可见性的内置密码系统的实现,并完全控制其执行流程。毫无疑问,处理对这些设备的白盒攻击是一个重大挑战。白盒攻击上下文的现有加密算法需要大的内存占用空间,因此不适用于资源受限嵌入式设备。为了解决这一挑战,我们提出了一种用于保护数据机密性的新型轻量级加密方案。通过专用秘密组件进行加密,并且加密算法需要少量的静态数据来存储关键信息。此外,该方案唯一地支持以非常小的成本高效更新。拟议方案的安全性和成本在理论上具有积极的结果,并且广泛的实验评估表明,新方案在有限的内存使用量和低计算成本方面满足了分布式嵌入式设备的要求。

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