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CRII: SaTC: Mitigating Software-Based Microarchitectural Attacks via Secure Microcode Customization

CRII: SaTC: Mitigating Software-Based Microarchitectural Attacks via Secure Microcode Customization
CRII:SaTC:通过安全微代码定制缓解基于软件的微架构攻击
批准号:
1850436
负责人:
Ashish Venkat
金额:
$17.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-03-01 至 2022-02-28

项目摘要

项目成果

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中文摘要
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英文摘要
Modern high-performance processors implement complex microarchitectural optimizations involving speculative execution which has recently been shown to be vulnerable to a type of malicious attack called Spectre. This project will investigate a microarchitectural solution framework to secure against such attacks. This framework, called context-sensitive fencing, will seek to automatically track and detect malicious execution patterns dynamically to trigger defense code without programmer intervention and with minimal impact on processor performance.This research will investigate a high performance defense strategy with three novel components: (a) secure microcode customization which leverages the processor's microcode engine to enable the surgical injection of Spectre defense code (e.g., speculation fences) into the dynamic instruction stream without the need for software patching, (b) a decoder-level information flow tracking framework which detects spurious execution patterns that result in the mis-training of core microprocessor structures such as the branch predictor, and (c) microarchitecture hardening mechanisms that shield sensitive microarchitectural structures against the malicious side effects of speculative execution, to further enable a security-aware processor architecture design.The reconfigurable microcode-level defense proposed by this research may address the Spectre attack which affects millions of users. This project will train and mentor graduate and undergraduate students and is expected to facilitate development of a hardware security course to be delivered in-class and online.The results from this research will be disseminated in the form of publications, presentations, design reports, course materials, and source code, and will be hosted publicly for the length of this project and beyond, on the investigator's website at http://www.cs.virginia.edu/venkat.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.
期刊论文(4)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1145/3297858.3304060
发表时间: 2019-04
期刊: Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems
影响因子: --
作者: [Mohammadkazem Taram;A. Venkat;D. Tullsen]
通讯作者: Mohammadkazem Taram;A. Venkat;D. Tullsen
Mitigating Speculative Execution Attacks via Context-Sensitive Fencing
通过上下文敏感防护减轻推测执行攻击
DOI: 10.1109/mdat.2022.3152633
发表时间: 2022
期刊: IEEE Design & Test
影响因子: 2
作者: [Taram, Mohammadkazem, Venkat, Ashish, Tullsen, Dean]
通讯作者: Tullsen, Dean
Context-Sensitive Decoding: On-Demand Microcode Customization for Security and Energy Management
上下文相关解码:用于安全和能源管理的按需微代码定制
DOI: 10.1109/mm.2019.2910507
发表时间: 2019
期刊: IEEE Micro
影响因子: 3.6
作者: [Taram, Mohammadkazem, Venkat, Ashish, Tullsen, Dean M.]
通讯作者: Tullsen, Dean M.
I See Dead µops: Leaking Secrets via Intel/AMD Micro-Op Caches
我看到死微操作:通过 Intel/AMD 微操作缓存泄露秘密
DOI: 10.1109/isca52012.2021.00036
发表时间: 2021
期刊: 2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture (ISCA
影响因子: --
作者: [Ren, Xida, Moody, Logan, Taram, Mohammadkazem, Jordan, Matthew, Tullsen, Dean M., Venkat, Ashish]
通讯作者: Venkat, Ashish
CAREER: Enabling Robust and Adaptive Architectures through a Decoupled Security-Centric Hardware/Software Stack
  • 批准号:
    2238548
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $50.96万
  • 财政年份:
    2023
  • 负责人:
    Ashish Venkat
  • 依托单位:
NSF Student Travel Grant for the 26th IEEE International Symposium on High Performance Computer Architecture (HPCA 2020)
  • 批准号:
    2014751
  • 项目类别:
    Standard Grant
  • 资助金额:
    $2.0万
  • 财政年份:
    2020
  • 负责人:
    Ashish Venkat
  • 依托单位:
FoMR: Speculative Super-optimization: Boosting Performance via Speculation-Driven Dynamic Binary Optimization
  • 批准号:
    1912608
  • 项目类别:
    Standard Grant
  • 资助金额:
    $20.0万
  • 财政年份:
    2019
  • 负责人:
    Ashish Venkat
  • 依托单位:
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