CAREER: Novel Techniques for Detecting and Localizing Hardware Trojans in Integrated Circuits

提案ID: 0844995， PI名称：Mohammad Tehranipoor， PI机构：University of Connecticut，标题：职业：集成电路中硬件木马检测和本地化的新技术摘要：随着全球化的发展，集成电路（ic）的设计和制造越来越容易受到恶意活动和改变的影响。这些漏洞引起了人们对许多关键应用程序可能面临的威胁的严重关注。攻击者可以引入特洛伊木马，旨在在将来某个时间禁用和/或破坏系统，或者特洛伊木马可以秘密地向攻击者泄露机密信息。本研究开发了有效的程序来检测集成电路中的恶意更改和细微修改。开发了侧通道信号分析方法和片上测量结构，以检测和定位插入的木马在非常深的亚微米集成电路中。本项目开发了新的硬件信任设计技术，以提高检测和隔离策略的能力和有效性。研究的智力价值是开发优化的技术，以提高对集成电路将执行其预期功能的信心水平，仅此而已。更广泛的影响是(i)硬件认证技术的发展，这将使美国政府、机构和许多无晶圆厂半导体公司感兴趣；（ii）社会效益，包括用于医疗保健、国防武器的可靠电子产品和用于智能、天气预报和运输的可靠计算平台；（iii）本科生和研究生的教育；（iv）新课程的开发。(v)向学术界和工业界的研究人员传播数据和方法。

Proposal ID: 0844995, PI Name: Mohammad Tehranipoor, PI Institution: University of Connecticut, Title: CAREER: Novel Techniques for Detecting and Localizing Hardware Trojans in Integrated CircuitsAbstract: Design and fabrication of integrated circuits (ICs) are becoming increasingly vulnerable to malicious activities and alterations with globalization. These vulnerabilities have raised serious concerns regarding possible threats to many critical applications. An adversary can introduce a Trojan designed to disable and/or destroy a system at some future time or the Trojan may serve to leak confidential information covertly to the adversary. This research develops efficient procedures for detection of malicious alterations and subtle modifications in integrated circuits. Side-channel signal analysis methods as well on-chip measurement structures are developed to detect and localize the inserted Trojans in very deep submicron ICs. Novel design-for-hardware-trust techniques are developed in this project to increase the capabilities and effectiveness of the detection and isolation strategies. The Intellectual Merit of the research is the development of techniques optimized to improve the level of confidence that an IC will carry out its intended function and nothing more. The broader impact is (i) the development of techniques for hardware authentication that would be of interests to US government, agencies and many fab-less semiconductor companies, (ii) the societal benefits that include trustworthy electronics for healthcare, defense weapons and dependable computing platforms for intelligence, weather forecasting, and transportation, (iii) the education of undergraduate and graduate students, (iv) the development of new courses, and (v) the dissemination of data and methodologies to researchers in academia and industry.