论文标题

基于纳米技术的安全备份和还原资源约束的物联网

A Secure Back-up and Restore for Resource-Constrained IoT based on Nanotechnology

论文作者

Uddin, Mesbah, Majumder, Md. Badruddoja, Hasan, Md. Sakib, Rose, Garrett S.

论文摘要

随着物联网(物联网)的出现,每天都在边缘设备中处理和传输大量敏感数据,几乎没有安全性。由于其积极的电源管理方案,在进入睡眠或低功率模式之前,在非易失性内存(NVM)中对其程序状态(NVM)中的其他必要数据进行备份是一种常见和必要的技术。但是,由于这些资源约束系统的添加可靠的安全措施往往不受保护,因此这种内存通常不受保护。在本文中,我们在低功率模式下为NVM提出了一个轻巧的安全系统。该安全体系结构使用Memristor,Memristor是一种新兴的纳米级设备,用于构建基于PUF(物理不封闭功能)基于加密的加密解码,真实的随机数发生器(TRNG)和内存完整性检查等硬件安全原始设备。还提出了针对该PUF的可靠性增强技术,该技术即使在100 \%可靠的PUF响应中,该系统将如何工作。通过所有这些技术,我们共同建立了双层安全协议(数据加密+完整性检查),该协议为嵌入式处理器提供了合理的安全性,同时在区域,功率和​​计算时间方面非常轻巧。完整的系统设计已通过65 $ N $ M CMO和新兴的回忆技术证明。这样,我们提供了对资源开销的详细而准确的估计。还提供了整个系统安全性的分析。

With the emergence of IoT (Internet of things), huge amounts of sensitive data are being processed and transmitted everyday in edge devices with little to no security. Due to their aggressive power management schemes, it is a common and necessary technique to make a back-up of their program states and other necessary data in a non-volatile memory (NVM) before going to sleep or low power mode. However, this memory is often left unprotected as adding robust security measures tends to be expensive for these resource constrained systems. In this paper, we propose a lightweight security system for NVM during low power mode. This security architecture uses the memristor, an emerging nanoscale device which is used to build hardware security primitives like PUF (physical unclonable function) based encryption-decryption, true random number generators (TRNG), and memory integrity checking. A reliability enhancement technique for this PUF is also proposed which shows how this system would work even with less-than-100\% reliable PUF responses. Together, with all these techniques, we have established a dual layer security protocol (data encryption+integrity check) which provides reasonable security to an embedded processor while being very lightweight in terms of area, power, and computation time. A complete system design is demonstrated with 65$n$m CMOS and emerging memristive technology. With this, we have provided a detailed and accurate estimation of resource overhead. Analysis of the security of the whole system is also provided.

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