Collaborative Research: SaTC: CORE: Medium: Systematic Detection Of and Defenses Against Next-Generation Microarchitectural Attacks
协作研究:SaTC:核心:中:下一代微架构攻击的系统检测和防御
基本信息
- 批准号:2153936
- 负责人:
- 金额:$ 40万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-10-01 至 2026-09-30
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
It is difficult to compute on sensitive data without inadvertently leaking it to the wrong party. Making matters worse, processor design significantly exacerbates this problem. Specifically, processors are made up of performance optimizations (called microarchitecture). Research has shown how a savvy attacker can manipulate microarchitecture to leak sensitive data. This project’s novelties are to design methodologies and tools for analyzing microarchitecture through a security lens: capturing its potential to leak sensitive data and providing actionable feedback to hardware designers and software writers to help avoid sensitive data breaches at both hardware design time and software run time. The project’s broader impact and importance is to develop a means for building efficient, secure processors—i.e., those where performance and security are not mutually exclusive.The project is broken into two synergistic thrusts. Thrust 1, Analysis, develops techniques for understanding and succinctly characterizing the information leakage potential of microarchitectural components (at various stages in their development) when they are integrated into a larger design. Thrust 2, Hardening, develops techniques for using said characterizations (specifications), e.g., generated by thrust 1, to derive software mitigations. In both thrusts, a major goal is to develop techniques that can be automated. Correspondingly, by the end of the project, the goal is to develop and disseminate a complete end-to-end prototype framework that can be used alongside traditional hardware design flows to 1) enable security-efficiency co-design by hardware engineers and 2) protect programs when run on previously analyzed microarchitectures.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.
很难在不无意中将敏感数据泄露给错误的一方的情况下计算敏感数据。 更糟糕的是,处理器设计大大加剧了这个问题。 具体来说,处理器由性能优化(称为微架构)组成。 研究表明,精明的攻击者可以操纵微体系结构来泄露敏感数据。 该项目的新颖之处在于设计通过安全透镜分析微体系结构的方法和工具:捕获其泄漏敏感数据的可能性,并向硬件设计人员和软件编写人员提供可操作的反馈,以帮助避免在硬件设计时和软件运行时的敏感数据泄露。 该项目更广泛的影响和重要性是开发一种构建高效、安全的处理器的方法,即,性能和安全性并不相互排斥。该项目分为两个协同推进。 重点1,分析,开发技术,用于理解和简洁地描述微架构组件(在其开发的各个阶段)集成到更大的设计中时的信息泄漏潜力。推力2,硬化,开发用于使用所述表征(规范)的技术,例如,由推力1生成,以导出软件缓解措施。在这两个方面,一个主要目标是开发可以自动化的技术。相应地,在项目结束时,其目标是开发和推广一个完整的端到端原型框架,该框架可以与传统的硬件设计流程一起使用,以1)使硬件工程师能够进行安全-效率协同设计; 2)该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Caroline Trippel其他文献
Concurrency and Security Verification in Heterogeneous Parallel Systems
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:7.9
- 作者:
Caroline Trippel - 通讯作者:
Caroline Trippel
TransForm: Formally Specifying Transistency Models and Synthesizing Enhanced Litmus Tests
TransForm:正式指定瞬态模型并综合增强的石蕊测试
- DOI:
10.1109/isca45697.2020.00076 - 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Naorin Hossain;Caroline Trippel;M. Martonosi - 通讯作者:
M. Martonosi
Exploring the Trisection of Software, Hardware, and ISA in Memory Model Design
探索内存模型设计中软件、硬件和 ISA 的三分法
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
Caroline Trippel;Yatin A. Manerkar;Daniel Lustig;Michael Pellauer;M. Martonosi - 通讯作者:
M. Martonosi
NL2FOL: Translating Natural Language to First-Order Logic for Logical Fallacy Detection
NL2FOL:将自然语言转换为一阶逻辑以进行逻辑谬误检测
- DOI:
10.48550/arxiv.2405.02318 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Abhinav Lalwani;Lovish Chopra;Christopher Hahn;Caroline Trippel;Zhijing Jin;Mrinmaya Sachan - 通讯作者:
Mrinmaya Sachan
Model Selection for Latency-Critical Inference Serving
延迟关键推理服务的模型选择
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Daniel Mendoza;Francisco Romero;Caroline Trippel - 通讯作者:
Caroline Trippel
Caroline Trippel的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Caroline Trippel', 18)}}的其他基金
CAREER: Scalable Assurance via Verifiable Hardware-Software Contracts
职业:通过可验证的硬件软件合同提供可扩展的保证
- 批准号:
2236855 - 财政年份:2023
- 资助金额:
$ 40万 - 项目类别:
Continuing Grant
Collaborative Research: CISE: Large: Cross-Layer Resilience to Silent Data Corruption
协作研究:CISE:大型:针对静默数据损坏的跨层弹性
- 批准号:
2321489 - 财政年份:2023
- 资助金额:
$ 40万 - 项目类别:
Continuing Grant
FMitF: Track II: Scaling Formal Hardware Security Verification with CheckMate from Research to Practice
FMITF:轨道 II:使用 CheckMate 将正式硬件安全验证从研究扩展到实践
- 批准号:
2017863 - 财政年份:2020
- 资助金额:
$ 40万 - 项目类别:
Standard Grant
相似国自然基金
Research on Quantum Field Theory without a Lagrangian Description
- 批准号:24ZR1403900
- 批准年份:2024
- 资助金额:0.0 万元
- 项目类别:省市级项目
Cell Research
- 批准号:31224802
- 批准年份:2012
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Cell Research
- 批准号:31024804
- 批准年份:2010
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Cell Research (细胞研究)
- 批准号:30824808
- 批准年份:2008
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Research on the Rapid Growth Mechanism of KDP Crystal
- 批准号:10774081
- 批准年份:2007
- 资助金额:45.0 万元
- 项目类别:面上项目
相似海外基金
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:
$ 40万 - 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
- 资助金额:
$ 40万 - 项目类别:
Continuing Grant
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
- 资助金额:
$ 40万 - 项目类别:
Continuing Grant
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 - 财政年份:2024
- 资助金额:
$ 40万 - 项目类别:
Continuing Grant
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:2024
- 资助金额:
$ 40万 - 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:
2330941 - 财政年份:2024
- 资助金额:
$ 40万 - 项目类别:
Continuing Grant
Collaborative Research: SaTC: CORE: Small: Towards Secure and Trustworthy Tree Models
协作研究:SaTC:核心:小型:迈向安全可信的树模型
- 批准号:
2413046 - 财政年份:2024
- 资助金额:
$ 40万 - 项目类别:
Standard Grant
Collaborative Research: SaTC: EDU: Adversarial Malware Analysis - An Artificial Intelligence Driven Hands-On Curriculum for Next Generation Cyber Security Workforce
协作研究:SaTC:EDU:对抗性恶意软件分析 - 下一代网络安全劳动力的人工智能驱动实践课程
- 批准号:
2230609 - 财政年份:2023
- 资助金额:
$ 40万 - 项目类别:
Standard Grant
Collaborative Research: SaTC: EDU: RoCCeM: Bringing Robotics, Cybersecurity and Computer Science to the Middled School Classroom
合作研究:SaTC:EDU:RoCCeM:将机器人、网络安全和计算机科学带入中学课堂
- 批准号:
2312057 - 财政年份:2023
- 资助金额:
$ 40万 - 项目类别:
Standard Grant
Collaborative Research: SaTC: CORE: Medium: Understanding the Impact of Privacy Interventions on the Online Publishing Ecosystem
协作研究:SaTC:核心:媒介:了解隐私干预对在线出版生态系统的影响
- 批准号:
2237329 - 财政年份:2023
- 资助金额:
$ 40万 - 项目类别:
Standard Grant