Collaborative Research: CT-T: Manufacturing Variability-based Hardware Protection Techniques

合作研究:CT-T:基于制造变异性的硬件保护技术

基本信息

  • 批准号:
    0716443
  • 负责人:
  • 金额:
    $ 5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2007
  • 资助国家:
    美国
  • 起止时间:
    2007-10-01 至 2008-09-30
  • 项目状态:
    已结题

项目摘要

It is estimated that hardware (HW) intellectual property piracy induces almost an order of magnitude higher loss when compared to software piracy cost and greatly facilitates both software and entertainment data piracy. In addition, HW vulnerabilities can be exploited for security attacks, especially the increasing threat of HW malware attacks (malicious or unintentional alterations of design specifications that compromise the correctness of the functionality under specific conditions) due to business models moving to external foundries and assembly houses. The strategic objective of this project is to give impetus to research on the protection against HW malware attacks and piracy with a multi-pronged attack that includes the development of both the conceptual foundation and several practical HW protection techniques.The intellectual merit of this project is the development of HW protection techniques that leverage the manufacturing variability (MV) inherent in modern fabrication processes and the resulting uniqueness of every manufactured integrated circuit (IC). This project is developing: (i) HW malware detection techniques considering only a single IC under very mild statistical assumptions about MV, and (ii) active HW metering protocols that prevent foundries from distributing unauthorized design copies by integrating MV into the functionality of the targeted design in such a way that only the designer can issue a key that unlocks the design after power up so that it becomes functional.The broader impacts of this project are that it will form the basis for a new industry that ensures HW integrity in a complex horizontal IC business model. In addition, this project is exposing both undergraduate and graduate students to these increasingly important topics and providing research opportunities for underrepresented students.
据估计,硬件(HW)知识产权盗版造成的损失几乎比软件盗版成本高一个数量级,极大地促进了软件和娱乐数据的盗版。此外,由于业务模型转移到外部铸造厂和装配厂,硬件漏洞可以被用于安全攻击,特别是硬件恶意软件攻击(恶意或无意地改变设计规范,损害特定条件下功能的正确性)的威胁日益增加。该项目的战略目标是通过多管齐下的攻击,推动对硬件恶意软件攻击和盗版的保护研究,包括概念基础和几种实用的硬件保护技术的发展。该项目的智力优势在于开发了利用现代制造工艺中固有的制造变异性(MV)和每个制造集成电路(IC)的独特性的HW保护技术。该项目正在开发:(i)硬件恶意软件检测技术,仅考虑在非常温和的MV统计假设下的单个IC,以及(ii)主动硬件计量协议,通过将MV集成到目标设计的功能中,防止代工厂分发未经授权的设计副本,这样只有设计师才能发出钥匙,在通电后解锁设计,使其具有功能。该项目的更广泛影响是,它将形成一个新产业的基础,确保硬件在复杂的水平集成电路商业模式中的完整性。此外,该项目使本科生和研究生都接触到这些日益重要的主题,并为代表性不足的学生提供研究机会。

项目成果

期刊论文数量(0)
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会议论文数量(0)
专利数量(0)

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John Lach其他文献

Making Meaning of “Messy” Data: Creating Clinically Useful Visualizations to Represent the Experience of Cancer Pain in the Home Setting (GP732)
  • DOI:
    10.1016/j.jpainsymman.2022.04.123
  • 发表时间:
    2022-06-01
  • 期刊:
  • 影响因子:
  • 作者:
    Virginia LeBaron;Nutta Homdee;Nyota Patel;Rachel Bennett;Nadim El-Jaroudi;Yudel Martinez Salgado;Emmanuel Ogunjirin;John Lach
  • 通讯作者:
    John Lach
Alloyed Branch History: Combining Global and Local Branch History for Robust Performance
Understanding the Experience of Cancer Pain From the Perspective of Patients and Family Caregivers to Inform Design of an In-Home Smart Health System: Multimethod Approach (Preprint)
从患者和家庭护理人员的角度了解癌症疼痛的经历,为家庭智能医疗系统的设计提供信息:多方法方法(预印本)
  • DOI:
    10.2196/preprints.20836
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    13.6
  • 作者:
    Virginia T. LeBaron;Rachel Bennett;Ridwan Alam;L. Blackhall;Kate Gordon;J. Hayes;Nutta Homdee;Randy Jones;Yudel Martinez;Emmanuel Ogunjirin;Tanya Thomas;John Lach
  • 通讯作者:
    John Lach
Automatic, wearable-based, in-field eating detection approaches for public health research: a scoping review
用于公共卫生研究的基于可穿戴设备的自动现场进食检测方法:范围审查
  • DOI:
    10.1038/s41746-020-0246-2
  • 发表时间:
    2020-03-13
  • 期刊:
  • 影响因子:
    15.100
  • 作者:
    Brooke M. Bell;Ridwan Alam;Nabil Alshurafa;Edison Thomaz;Abu S. Mondol;Kayla de la Haye;John A. Stankovic;John Lach;Donna Spruijt-Metz
  • 通讯作者:
    Donna Spruijt-Metz

John Lach的其他文献

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{{ truncateString('John Lach', 18)}}的其他基金

2018 Connections in Smart Health Workshop
2018智慧健康连线工作坊
  • 批准号:
    1841671
  • 财政年份:
    2018
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
REU Site: Wireless Technologies for Health Applications
REU 网站:健康应用无线技术
  • 批准号:
    1461162
  • 财政年份:
    2015
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
Safety Analysis of Body Sensor Networks
人体传感器网络的安全分析
  • 批准号:
    1240454
  • 财政年份:
    2012
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
SHB: Medium: Collaborative Research: Non-Intrusive Multi-Patient Fall-Risk Monitoring in Health Care Facilities
SHB:中:协作研究:医疗保健机构中的非侵入式多患者跌倒风险监测
  • 批准号:
    1065262
  • 财政年份:
    2011
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
Enhancing AFO Efficacy through Continuous, Non-Invasive Gait Assessment
通过连续、非侵入性步态评估提高 AFO 功效
  • 批准号:
    1034071
  • 财政年份:
    2010
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
CI-P: Development of Community Infrastructure for Body Sensor Network Research, Education, and Support
CI-P:身体传感器网络研究、教育和支持的社区基础设施开发
  • 批准号:
    0855197
  • 财政年份:
    2009
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
Collaborative Research: Multi-Scale QoS for Body Sensor Networks
协作研究:身体传感器网络的多尺度 QoS
  • 批准号:
    0901686
  • 财政年份:
    2009
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
Collaborative Research: Continuous, Non-Invasive Gait Analysis and Fall-Risk Assessment
合作研究:连续、非侵入性步态分析和跌倒风险评估
  • 批准号:
    0756645
  • 财政年份:
    2008
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
SEI: Hierarchical Dependency Graphs for Col-Space Design with Application to Leukocyte Detection and Tracking
SEI:Col 空间设计的分层依赖图及其在白细胞检测和跟踪中的应用
  • 批准号:
    0612049
  • 财政年份:
    2006
  • 资助金额:
    $ 5万
  • 项目类别:
    Continuing Grant
EHS: Highly Flexible Multi-Mode Embedded Systems
EHS:高度灵活的多模式嵌入式系统
  • 批准号:
    0410526
  • 财政年份:
    2004
  • 资助金额:
    $ 5万
  • 项目类别:
    Continuing Grant

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