SaTC: STARSS: Hardware Authentication through High-Capacity PUF-Based Secret Key Generation and Lattice Coding

SaTC：STARSS：通过基于大容量 PUF 的密钥生成和点阵编码进行硬件身份验证

• 批准号: 1441484
• 负责人: Michael Orshansky
• 金额: $ 30.67万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-10-01 至 2018-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1441484&HistoricalAwards=false
• 关键词: SaTC; STARSS; Hardware; Authentication; through

Hardware authentication is one of the critical needs in the emerging discipline of design for assurance and design for security. It is concerned with establishing the authenticity and provenance of Integrated Circuits (ICs) reliably and inexpensively at any point in a chip's life-time. Physical unclonable functions (PUFs) have significant promise as basic primitives for authentication since they can serve as intrinsically-generated hardware roots-of-trust within specific authentication protocols. PUFs are pseudo-random functions that exploit the randomness inherent in the IC manufacturing to generate random output strings. The central challenge in realizing the potential of strong PUFs is their vulnerability to model-building attacks using machine learning (ML) methodologies. Despite the effort devoted to PUFs over the past decade, there is still a lack of a strong silicon PUF that is both reliable and ML-resilient. This project develops a strong PUF that exploits the physics of nanometer-scale CMOS to attain security properties that are superior to existing designs. This new PUF exploits the physics of scaled transistors, namely subthreshold operation and drain-induced barrier lowering, to realize continuous nonlinearity. The project also investigates effective algorithmic techniques, based on novel codes and lattice-constructions, to enhance the overall structure as well as the robustness of the resulting PUF output to enable high-capacity secret key generation. The strong PUFs developed in this project possess a very large input-output space, making them invaluable to many potential security applications.

硬件身份验证是新兴的保证设计和安全设计学科中的关键需求之一。它关注的是在芯片生命周期的任何时候可靠而廉价地建立集成电路（ic）的真实性和来源。物理不可克隆函数（puf）作为身份验证的基本原语具有重要的前景，因为它们可以作为特定身份验证协议中固有生成的硬件信任根。puf是伪随机函数，它利用集成电路制造中固有的随机性来生成随机输出字符串。实现强大puf潜力的核心挑战是它们容易受到使用机器学习（ML）方法的模型构建攻击。尽管在过去十年中致力于PUF，但仍然缺乏既可靠又具有ml弹性的强大硅PUF。该项目开发了一种强大的PUF，利用纳米级CMOS的物理特性来获得优于现有设计的安全性能。这种新型PUF利用了缩放晶体管的物理特性，即亚阈值运算和漏极诱导势垒降低，来实现连续非线性。该项目还研究了基于新编码和格结构的有效算法技术，以增强整体结构以及由此产生的PUF输出的鲁棒性，从而实现高容量密钥生成。本项目开发的强大puf具有非常大的输入输出空间，使其对许多潜在的安全应用具有不可估量的价值。