嵌入式系统中的内生存储器PUF研究综述  

Review of extracting intrinsic PUF from embedded memory

在线阅读下载全文

作  者:陈帅 蔡敏 杨志勇 曾集丰 CHEN Shuai;CAI Min;YANG Zhiyong;CHANG Chip Hong(Rock-solid Security Lab.,Wuhan Binary Semi.Co.Ltd.,Suzhou 214000,China;Wuhan Binary Semi.Co.Ltd.,Wuhan 430000,China;School of Electrical Engineering,Nanyang Technological University,Singapore 999002,Singapore)

机构地区:[1]武汉二进制半导体有限公司-磐石安全实验室,苏州214000 [2]武汉二进制半导体有限公司,武汉430000 [3]南洋理工大学电子工程学院,新加坡999002

出  处:《集成电路与嵌入式系统》2024年第9期7-16,共10页Integrated Circuits and Embedded Systems

摘  要:物理不可克隆函数(Physical Unclonable Functions,PUF)可视为一种“芯片指纹”,具有轻量级、不可预测、难以克隆等特性,已经成为物联网硬件安全机制的重要组成部分。然而,传统PUF的实现需要在硬件层面增加FPGA或专用集成电路,会增加硬件成本。对于数以亿计的现有物联网嵌入式设备,难以通过硬件改造来增加PUF安全属性。因此,从现有设备的硬件结构中挖掘固有PUF(Intrinsic PUF,IPUF)成为PUF研究与产业化的关键组成部分。本工作将对已有的IPUF,尤其是基于存储器的IPUF(Memroy based Intrinsic PUF,MIPUF)相关工作进行系统综述,并针对IPUF在现有系统中的可实现性及未来的发展方向进行讨论,以推动该技术的工程应用。Physical Unclonable Functions(PUFs)can be regarded as a"chip fingerprint"with lightweight,unpredictable,and difficult to clone characteristics,and have become an important component of IoT hardware security mechanisms.However,the implementation of traditional PUFs requires the addition of FPGA or dedicated integrated circuits at the hardware level,which will increase hardware costs.For billions of existing IoT embedded devices,it is difficult to increase PUF security attributes through hardware modifications.Therefore,we discuss the promising method to implement these intrinsic PUFs on commercial off-the-shelf devices and explore the potential applications of intrinsic PUFs.We will provide a systematic review of existing IPUFs,particularly Memroy based Intrinsic PUFs(MIPUFs),and discuss the feasibility and future development directions of IPUFs in existing systems,in order to promote the engineering application of this technology.

关 键 词:PUF SRAM DRAM FLASH 

分 类 号:TP872[自动化与计算机技术—检测技术与自动化装置]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象