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

基本信息

项目摘要

Computing hardware including processors, memory banks, and communication busses can harbor vulnerabilities that allow an attacker to gain unauthorized access to the programs and data on a machine. Hardware designers and security experts expend considerable time and effort to eliminate these vulnerabilities early in the design stage. The focus of this research is to support these activities towards improving efficiency and outcomes. In developing the methodologies and tools to find and contextualize hardware security vulnerabilities, this research will move the field of security validation of hardware designs forward.The research targets the security validation of central processing units in the design stage. The project has two goals: 1) To identify security critical properties of a processor. These properties will be stated in a temporal logic over the register transfer level design. 2) To develop the methodology and tools to automatically find and contextualize violations of those properties. A key innovation of this research will be the application of symbolic execution to hardware designs. In order to make symbolically executing a complex hardware design through multiple clock cycles feasible, the research will develop a targeted, backward search strategy.If successful, the project has the potential to significantly reduce the opportunity for a malicious actor to launch an effective attack against hardware, improving the security of computer systems.The tools, testbenches, papers, and presentations resulting from this research will be available at a site linked from https://cs.unc.edu/~csturton.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.
包括处理器、内存条和通信总线在内的计算硬件可能存在漏洞,使得攻击者能够在未经授权的情况下访问机器上的程序和数据。硬件设计人员和安全专家花费大量时间和精力在设计阶段早期消除这些漏洞。这项研究的重点是支持这些活动,以提高效率和成果。在开发发现硬件安全漏洞的方法和工具方面,本研究将推动硬件设计安全验证领域的发展,研究目标是在设计阶段对中央处理器进行安全验证。该项目有两个目标:1)确定处理器的安全关键属性。这些属性将在寄存器传送级设计上的时态逻辑中陈述。2)开发方法和工具,以自动发现违反这些财产的行为并将其与背景联系起来。这项研究的一个关键创新是将符号执行应用到硬件设计中。为了通过多个时钟周期象征性地执行复杂的硬件设计,该研究将开发一种有针对性的向后搜索策略。如果成功,该项目有可能显著减少恶意行为者对硬件发动有效攻击的机会,提高计算机系统的安全性。该研究产生的工具、测试台、论文和演示文稿将在https://cs.unc.edu/~csturton.This奖链接的网站上获得,该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(6)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Mining Security Critical Linear Temporal Logic Specifications for Processors
采矿安全关键的线性时态逻辑处理器规范
Evaluating Security Specification Mining for a CISC Architecture
评估 CISC 架构的安全规范挖掘
End-to-End Automated Exploit Generation for Processor Security Validation
用于处理器安全验证的端到端自动漏洞利用生成
  • DOI:
    10.1109/mdat.2021.3063314
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    2
  • 作者:
    Zhang, Rui;Deutschbein, Calvin;Huang, Peng;Sturton, Cynthia
  • 通讯作者:
    Sturton, Cynthia
Isadora: Automated Information Flow Property Generation for Hardware Designs
End-to-End Automated Exploit Generation for Validating the Security of Processor Designs
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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

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
  • 批准号:
    2247754
  • 财政年份:
    2023
  • 资助金额:
    $ 33.33万
  • 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:
    $ 33.33万
  • 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:
    $ 33.33万
  • 项目类别:
    Continuing 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:
    $ 33.33万
  • 项目类别:
    Standard Grant

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