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CAREER: Resilient Execution with Bounded-Time Recovery (REBOUND)

CAREER: Resilient Execution with Bounded-Time Recovery (REBOUND)
职业生涯:具有有限时间恢复(REBOUND)的弹性执行
批准号:
1750158
负责人:
Linh Thi Xuan Phan
金额:
$47.54万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-01 至 2024-08-31

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中文摘要
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英文摘要
This project develops new ways to defend critical infrastructure systems, such as factory control networks, medical devices, or power plants, against attacks. These systems directly interact with the physical world, so a successful attack can have serious consequences: for instance, a compromised chemical plant could have severe environmental consequences, and a compromised medical device could result in injury or death. Contemporary security mechanisms, however, can be inadequate for at two reasons. First, current defenses tend to be quite heavyweight, which makes them difficult to apply to resource-constrained infrastructure systems. And second, timing is critical: current defenses tend to focus on preventing systems from 'doing the wrong thing' or 'failing to do the right thing', as opposed to preventing systems from 'doing the right thing at the wrong time', which is often just as damaging. To address this problem, this project creates stronger defense mechanisms tailored specifically for infrastructure systems. The new mechanisms explicitly take timing into account, are expected to have lower cost, and will initially be applied to automotive systems in collaboration with a major car manufacturer. The principal investigator will organize tutorials for practitioners, and will enhance the curriculum of the Master's in Embedded Systems program at the University of Pennsylvania with more coverage of Internet-of-Things security. She is also developing a series of outreach activities to improve the representation of women and minorities in the real-time systems community. Collaborations with the law school and the medical school at the University of Pennsylvania will investigate how to use the new techniques to improve the legal framework for infrastructure systems, by offering better accountability for product defects, for example, and how to apply them to improve the security of medical systems. This project pursues an approach called bounded-time recovery. Unlike many existing techniques, bounded time recovery does not attempt to mask all symptoms of an attack, which existing defenses do at great cost; rather, it leverages the fact that many systems cannot change their state arbitrarily quickly, due to properties such as inertia or thermal capacity, and can thus already tolerate brief disruptions, provided the system quickly returns to a correct state. This approach seeks guarantees that 1) the system will meet its timing requirements in the absence of an attack, and that 2) when under attack, the system will return to a correct state within a bounded amount of time, potentially after reconfiguring itself to exclude compromised nodes. The goal is to provide these guarantees in the Byzantine model, that is, without a priori knowledge of what the attacks will look like, or which nodes will be attacked. To achieve this goal, the project will construct practical algorithms for (provably) detecting attacks within bounded time, based on techniques such as tamper-evident logs and cryptographic evidence; create methods for recovering from detected attacks within bounded time, using ideas from multi-mode systems; and produce reusable implementations of the new techniques that will be widely disseminated and made available under an open-source license.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(18)
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会议论文
DOI: 10.1145/3447786.3456257
发表时间: 2021-04
期刊: Proceedings of the Sixteenth European Conference on Computer Systems
影响因子: --
作者: [N. Gandhi;Edo Roth;Brian Sandler;Andreas Haeberlen;L. T. Phan]
通讯作者: N. Gandhi;Edo Roth;Brian Sandler;Andreas Haeberlen;L. T. Phan
DNA: Dynamic Resource Allocation for Soft Real-Time Multicore Systems
DNA:软实时多核系统的动态资源分配
DOI: 10.1109/rtas52030.2021.00024
发表时间: 2021
期刊: Proceedings of the 27th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS '21
影响因子: --
作者: [Gifford, Robert, Gandhi, Neeraj, Phan, Linh Thi, Haeberlen, Andreas]
通讯作者: Haeberlen, Andreas
Real-Time Packet-Based Intrusion Detection on Edge Devices
边缘设备上基于数据包的实时入侵检测
DOI: 10.1145/3576914.3587551
发表时间: 2023
期刊: 2nd International Workshop on Real-Time and IntelliGent Edge Computing (RAGE
影响因子: --
作者: [Borgioli, Niccolò, Thi Xuan Phan, Linh, Aromolo, Federico, Biondi, Alessandro, Buttazzo, Giorgio]
通讯作者: Buttazzo, Giorgio
Mitigating Computational Constraints via Adaptive Control and Resource Allocation Co-design.
通过自适应控制和资源分配协同设计减轻计算约束。
DOI: --
发表时间: 2022
期刊: Workshop on Computation-Aware Algorithmic Design for Cyber-Physical Systems
影响因子: --
作者: [Linh Thi Xuan Phan, Ricardo G. Sanfelice]
通讯作者: Ricardo G. Sanfelice
17
    NeTS: Medium: Collaborative Research: Diagnosing Datacenter Networks with Quantitative Provenance
    • 批准号:
      1703936
    • 项目类别:
      Continuing Grant
    • 资助金额:
      $85.65万
    • 财政年份:
      2017
    • 负责人:
      Linh Thi Xuan Phan
    • 依托单位:
    NeTS: CSR: Medium: Network Functions Virtualization With Timing Guarantees
    • 批准号:
      1563873
    • 项目类别:
      Continuing Grant
    • 资助金额:
      $110.0万
    • 财政年份:
      2016
    • 负责人:
      Linh Thi Xuan Phan
    • 依托单位:
    CSR: Small: Resource Management for Real-time Cloud Computing
    • 批准号:
      1117185
    • 项目类别:
      Standard Grant
    • 资助金额:
      $45.0万
    • 财政年份:
      2011
    • 负责人:
      Linh Thi Xuan Phan
    • 依托单位:
    海外基金