TWC: Medium: Collaborative: New Protocols and Systems for RAM-Based Secure Computation
TWC: Medium: Collaborative: New Protocols and Systems for RAM-Based Secure Computation
批准号:
1564088
负责人:
Samuel Gordon
金额:
$37.1万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-05-15 至 2020-09-30
中文摘要
安全计算允许用户在他们的私有数据上协作计算任何程序,同时确保他们除了计算的输出之外什么都不知道。用于安全计算的现有协议主要依赖于正在评估的程序的布尔电路表示,这可能非常低效。本项目的重点是在RAM计算模型中开发安全计算协议。这里特别具有挑战性的是需要确保内存访问是无关的,并且不会泄漏有关私有数据的信息。研究人员正在设计高效的遗忘数据结构,可以用作RAM计算模型中安全协议的通用构建块。该项目开发了一个框架,使程序员能够编写高级代码,然后由后端算法编译,该后端算法分析代码并利用我们提供的无关数据结构。这项工作受到实际应用程序需求的影响,分析程序确切需求的技术将被评估,并根据这些需求定制生成的协议。该项目旨在开发工具,使非专业人员更容易获得安全计算,因此它可以更广泛地用于对私人数据进行计算。该项目的主要研究人员指导研究生和本科生,并积极鼓励少数民族学生的参与。该项目开发新的课程材料,并通过参与IEEE网络安全倡议和马里兰州网络安全委员会与更广泛的社区进行互动。
英文摘要
Secure computation allows users to collaboratively compute any program on their private data, while ensuring that they learn nothing beyond the output of the computation. Existing protocols for secure computation primarily rely on a boolean-circuit representation for the program being evaluated, which can be highly inefficient. This project focuses on developing secure-computation protocols in the RAM model of computation. Particularly challenging here is the need to ensure that memory accesses are oblivious, and do not leak information about private data. The investigators are designing efficient oblivious data structures that can be used as general-purpose building blocks for secure protocols in the RAM model of computation. This project develops a framework that enables programmers to write high-level code that can then be compiled by a back-end algorithm that analyzes the code and makes use of the oblivious data structures we provide. This work is influenced by the needs of real applications, and the techniques to analyze the exact requirements of the program will evaluated and to tailor the resulting protocol to those requirements. This project aims to develop tools making secure computation more accessible to non-specialists, so it can be more broadly used to perform computations on private data. The Principal Investigators on this project mentor both graduate and undergraduate students and actively encourage involvement of minority students. The project develops new course materials and interact with the broader community through involvement in the IEEE cybersecurity initiative and the Maryland Cybersecurity Council.
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会议论文
CAREER: Trading Security for Efficiency in Secure Computation
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批准号:1942575
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项目类别:Continuing Grant
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资助金额:$51.42万
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财政年份:2020
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负责人:Samuel Gordon
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依托单位:
SaTC: CORE: Medium: Collaborative: New Approaches for Large Scale Secure Computation
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批准号:1955264
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项目类别:Continuing Grant
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资助金额:$40.2万
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财政年份:2020
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负责人:Samuel Gordon
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依托单位:
海外基金