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Physical unclonable function: architectures, applications and challenges for dependable security
IET Circuits, Devices & Systems ( IF 1.0 ) Pub Date : 2020-07-13 , DOI: 10.1049/iet-cds.2019.0175
Huansheng Ning 1 , Fadi Farha 1 , Ata Ullah 1 , Lingfeng Mao 1
Affiliation  

Physical unclonable function (PUF) is hardware-specific security primitive for providing cryptographic functionalities that are applicable for secure communication among the embedded devices. The physical structure of PUF is considered to be easy to manufacture but hard or impossible to replicate due to variations in its manufacturing process. However, a large community of analytics believes hardware-based PUF has paved the way for its realisation in providing dependable security. In this study, the authors have thoroughly explored the architecture, applications, requirements, and challenges of PUF that provide security solutions. For presenting the literature, they have designed a taxonomy where PUFs are divided under two main categories, including non-silicon and silicon-based PUF. Currently, there is no comprehensive survey that highlights the comparison and usability of memory-based and analogue/mixed-signal based PUF that are considered to be suitable as compared to counterparts. In a similar vein, they have presented the network-specific application scenarios in wireless sensor network, wireless body area network and Internet of Things and then identified the strong, weak and controlled PUF in a categorical manner. Moreover, they have presented a number of prospective limitations that are identified in PUF structures and then identified the open research challenges to meet the desired security levels.

中文翻译:

物理不可克隆的功能:可靠的安全性的体系结构,应用程序和挑战

物理不可克隆功能(PUF)是特定于硬件的安全原语,用于提供适用于嵌入式设备之间安全通信的加密功能。PUF的物理结构被认为易于制造,但是由于其制造工艺的变化而难以复制或不可能复制。但是,大量分析人士认为,基于硬件的PUF为实现可靠的安全性铺平了道路。在这项研究中,作者彻底探讨了提供安全解决方案的PUF的体系结构,应用程序,要求和挑战。为了介绍文献,他们设计了一种分类法,其中PUF分为两个主要类别,包括非硅基和硅基PUF。目前,没有全面的调查来强调与相应的内存相比,基于内存的和基于模拟/混合信号的PUF的比较和可用性。同样,他们提出了无线传感器网络,无线人体局域网和物联网中特定于网络的应用场景,然后以分类的方式确定了强,弱和受控的PUF。此外,他们提出了一些在PUF结构中确定的预期限制,然后确定了满足所需安全级别的开放研究挑战。他们介绍了在无线传感器网络,无线人体局域网和物联网中特定于网络的应用场景,然后以分类的方式确定了强,弱和受控的PUF。此外,他们提出了一些在PUF结构中确定的预期限制,然后确定了满足所需安全级别的开放研究挑战。他们介绍了在无线传感器网络,无线人体局域网和物联网中特定于网络的应用场景,然后以分类的方式确定了强,弱和受控的PUF。此外,他们提出了一些在PUF结构中确定的预期限制,然后确定了满足所需安全级别的开放研究挑战。
更新日期:2020-08-20
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