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.

在每个人和一切都以电子方式联系的世界中，身份对于支持可信赖的交易至关重要。该项目研究了设计和实施片上指纹的新技术。这样的指纹建立了电子系统的硬件身份。片上指纹基于电子芯片的现有，小型和随机的制造变化。使用跨学科的方法将统计领域的最新进展与电路设计中的进步结合在一起，该项目开发了片上指纹结构，这些结构已优化，以稳定性，实施成本和安全性。稳定的片上指纹对随机制造的变化具有最大敏感性，并且对其他环境因素（例如温度，电压，噪声和衰老）敏感。低成本的片上指纹是通过使用统计，结构和电路级技术来获得最大化提取熵量的。安全的片上指纹具有抵抗常见攻击，例如反向工程和模型构建。由于其跨学科特征，该项目建立了高级统计分析与深度辅助设计之间的急需联系，以进行电路识别。这会导致更好的PUF设计，适用于更广泛的应用程序范围：安全护照，反击计划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。对于预科课程和进入新生的学生，该项目在现有的校园内计划的背景下提供了介绍受信任的硬件的介绍，该计划涉及工程学的少数群体。对于研究生，该项目提供了一个团队教学的课程，该课程在电气工程系与统计局之间共享。