Collaborative Research: SaTC: CORE: Medium: Hardware Security Insights: Analyzing Hardware Designs to Understand and Assess Security Weaknesses and Vulnerabilities

协作研究:SaTC:核心:中:硬件安全见解:分析硬件设计以了解和评估安全弱点和漏洞

基本信息

项目摘要

This project’s goal is to develop better methods for understanding how information flows in computer hardware designs, and thus increase their security. The microprocessors, wireless modems, graphics processing units, and other hardware components at the heart of all computing devices are designed by engineers using low-level hardware description languages. These designs are complex, making it difficult to reason about security vulnerabilities that may allow attackers to extract valuable secret information like cryptographic keys and personally identifiable information. Hardware security verification aims to identify hardware weaknesses, patch potential vulnerabilities, and mitigate the harm of attacks. Understanding how information flows in hardware designs can help verification engineers to assess whether secret data can be extracted by an attacker and to develop designs that prevent those vulnerable flows.The project is structured around three main aims that together will lead to improved tools for insights around hardware information flow tracking. The first aim is to automate the generation of information-flow properties, which can then be verified by existing tools. The second is to develop testbenches that fully exercise possible information flows through a design, using angelic execution oracles designed to maximize coverage of possible information flows. The third is to develop a new “hyperflow analysis” framework that provides both analytic representations to support algorithms for hardware design and verification, and visual representations that help verification engineers explore hardware vulnerabilities through an information-flow lens. The work will involve a number of undergraduate and graduate students, contributing to the development of the computer security workforce.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
该项目是为了理解计算机硬件设计中的流动方法复杂的是,很难推理toat的安全漏洞,这可能会使铲球可以提取诸如密码和个人信息之类的秘密信息,以识别硬件弱点,补丁潜在的脆弱性,并察觉到硬件设计中的烦恼如何帮助验证工程师评估数据由攻击者提取并开发脆弱流动的设计。该项目围绕三个主要目的,这些目标共同导致改进的工具福特软件信息流跟踪。第二个是开发通过Desigha Desigh Desigh Desigh Desigh Desigh的测试板,使用天使般的执行来最大程度地覆盖可能的信息流量。硬件脆弱性工作于工作人员和毕业生的工作人员安全劳动力。该奖项反映了NSF'Stutory Mission,值得支持Thalugh评估我们的优点和更广泛的影响。

项目成果

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Cynthia Sturton其他文献

Cynthia Sturton的其他文献

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{{ truncateString('Cynthia Sturton', 18)}}的其他基金

SaTC: STARSS: Small: Tackling the Corner Cases: Finding Security Vulnerabilities in CPU Designs
SaTC:STARSS:小型:解决极端情况:查找 CPU 设计中的安全漏洞
  • 批准号:
    1816637
  • 财政年份:
    2018
  • 资助金额:
    $ 57.1万
  • 项目类别:
    Standard Grant
CPS: Frontier: Collaborative Research: VeHICaL: Verified Human Interfaces, Control, and Learning for Semi-Autonomous Systems
CPS:前沿:协作研究:VeHCaL:半自主系统的经过验证的人机界面、控制和学习
  • 批准号:
    1544924
  • 财政年份:
    2016
  • 资助金额:
    $ 57.1万
  • 项目类别:
    Continuing Grant
EAGER: Identifying Security Critical Properties of a Processor
EAGER:识别处理器的安全关键属性
  • 批准号:
    1651276
  • 财政年份:
    2016
  • 资助金额:
    $ 57.1万
  • 项目类别:
    Standard Grant
CRII: SaTC: Detecting Security Vulnerabilities in Instruction Set Architectures
CRII:SaTC:检测指令集架构中的安全漏洞
  • 批准号:
    1464209
  • 财政年份:
    2015
  • 资助金额:
    $ 57.1万
  • 项目类别:
    Standard Grant

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Collaborative Research: SaTC: CORE: Medium: Differentially Private SQL with flexible privacy modeling, machine-checked system design, and accuracy optimization
协作研究:SaTC:核心:中:具有灵活隐私建模、机器检查系统设计和准确性优化的差异化私有 SQL
  • 批准号:
    2317232
  • 财政年份:
    2024
  • 资助金额:
    $ 57.1万
  • 项目类别:
    Continuing Grant
Collaborative Research: SaTC: CORE: Medium: Using Intelligent Conversational Agents to Empower Adolescents to be Resilient Against Cybergrooming
合作研究:SaTC:核心:中:使用智能会话代理使青少年能够抵御网络诱骗
  • 批准号:
    2330940
  • 财政年份:
    2024
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Collaborative Research: NSF-BSF: SaTC: CORE: Small: Detecting malware with machine learning models efficiently and reliably
协作研究:NSF-BSF:SaTC:核心:小型:利用机器学习模型高效可靠地检测恶意软件
  • 批准号:
    2338301
  • 财政年份:
    2024
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    $ 57.1万
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Collaborative Research: SaTC: CORE: Medium: Differentially Private SQL with flexible privacy modeling, machine-checked system design, and accuracy optimization
协作研究:SaTC:核心:中:具有灵活隐私建模、机器检查系统设计和准确性优化的差异化私有 SQL
  • 批准号:
    2317233
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Collaborative Research: NSF-BSF: SaTC: CORE: Small: Detecting malware with machine learning models efficiently and reliably
协作研究:NSF-BSF:SaTC:核心:小型:利用机器学习模型高效可靠地检测恶意软件
  • 批准号:
    2338302
  • 财政年份:
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