TC: Medium: From Statistics to Circuits: Foundations for Future On-chip Fingerprints

TC：媒介：从统计到电路：未来片上指纹的基础

• 批准号: 0964680
• 负责人: Patrick Schaumont
• 金额: $ 67.56万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-01 至 2015-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0964680&HistoricalAwards=false
• 关键词: TC; Medium; Statistics; Circuits; Foundations

In a world where everybody and everything is electronically connected, identity is essential to support trustworthy transactions. This project investigates novel techniques to design and implement on-chip fingerprints. Such fingerprints establish the hardware identity of an electronic system. The on-chip fingerprints are based on the existing, small and random manufacturing variations of electronic chips. Using a cross-disciplinary approach that combines recent advances in the field of statistics with those in circuit design, this project develops on-chip fingerprint structures that are optimized for stability, implementation cost, and security. Stable on-chip fingerprints are maximally sensitive to random manufacturing variations, and minimally sensitive to other environmental factors such as temperature, voltage, noise, and aging. Low-cost on-chip fingerprints are obtained by using statistical, architectural, and circuit-level techniques that maximize the amount of extracted entropy. Secure on-chip fingerprints are resistant against common attacks such as reverse engineering and model building. Thanks to its cross-disciplinary character, this project establishes a much-needed link between advanced statistical analysis and deep-submicron design for the purpose of circuit identification. This leads to better PUF designs, applicable across a wider range of applications: secure passports, anti-counterfeiting schemes, and security and trust at the endpoints. The project includes strong integration of research and education. For pre-college and entering freshman students, the project offers an introduction to trusted hardware, in the context of existing on-campus programs that involve minorities in engineering. For graduate students, the project offers a team-taught course, shared between the electrical engineering department and the statistics department.

在一个每个人和一切都以电子方式连接的世界中，身份对于支持可信的交易至关重要。本项目研究设计和实现片上指纹的新技术。这样的指纹建立电子系统的硬件身份。片上指纹基于电子芯片的现有的、小的和随机的制造变化。该项目采用跨学科方法，将统计学领域的最新进展与电路设计相结合，开发出针对稳定性、实现成本和安全性进行优化的片上指纹结构。稳定的片上指纹对随机制造变化最敏感，对温度、电压、噪声和老化等其他环境因素最不敏感。低成本的芯片上的指纹是通过使用统计，架构和电路级的技术，最大限度地提取熵的量。安全的片上指纹可以抵抗反向工程和模型构建等常见攻击。由于其跨学科的特点，该项目建立了先进的统计分析和深亚微米电路识别的目的设计之间急需的联系。这导致了更好的PUF设计，适用于更广泛的应用：安全护照，防伪方案以及端点的安全和信任。该项目包括研究和教育的强大整合。对于大学预科和大一新生，该项目提供了一个介绍值得信赖的硬件，在现有的校园计划，涉及少数民族在工程的背景下。对于研究生，该项目提供了一个团队授课的课程，电气工程系和统计系之间共享。