SaTC: CORE: Small: Nested Black-Box Constructions in Cryptography
SaTC:核心:小型:密码学中的嵌套黑盒结构
基本信息
- 批准号:2028920
- 负责人:
- 金额:$ 49.91万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-10-01 至 2024-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Secure computation is a broad topic in cryptography that deals with how to compute functions over distributed private data. At the most basic level, the security of this task is derived from simple, low level, cryptographic primitives. A central question in this area is whether the code of the low level primitives is required to securely compute the desired function. This question has remained largely unexplored for the case of cryptographic functions. The project's novelties are new enhancements to classical cryptographic primitives, and a new paradigm to securely compute any function instantiated from them without requiring its full code. The project's impacts are discovery of new and general-purpose tools that have the potential to transform the area of black-box secure computation.The project takes a fresh look at the case of functions that depend only on input/output behavior of other cryptographic primitives and not their code. Existing methods to securely compute such functions require the code of the primitives they depend on even though the functions themselves do not. Such functions, referred to as nested black-box functions, happen to be a major source of inefficiency in secure computation. It is argued that if classical cryptographic primitives such as one-way functions admit sufficiently powerful secure computation protocols, it may be possible to avoid the need for their code when computing nested black-box functions instantiated from them. This project explores ways to construct these enhanced primitives from classical ones in a black-box manner, and general-purpose methods to securely compute nested black-box functions instantiated from them.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.
Secure computation is a broad topic in cryptography that deals with how to compute functions over distributed private data. At the most basic level, the security of this task is derived from simple, low level, cryptographic primitives. A central question in this area is whether the code of the low level primitives is required to securely compute the desired function. This question has remained largely unexplored for the case of cryptographic functions. The project's novelties are new enhancements to classical cryptographic primitives, and a new paradigm to securely compute any function instantiated from them without requiring its full code. The project's impacts are discovery of new and general-purpose tools that have the potential to transform the area of black-box secure computation.The project takes a fresh look at the case of functions that depend only on input/output behavior of other cryptographic primitives and not their code. Existing methods to securely compute such functions require the code of the primitives they depend on even though the functions themselves do not. Such functions, referred to as nested black-box functions, happen to be a major source of inefficiency in secure computation. It is argued that if classical cryptographic primitives such as one-way functions admit sufficiently powerful secure computation protocols, it may be possible to avoid the need for their code when computing nested black-box functions instantiated from them. This project explores ways to construct these enhanced primitives from classical ones in a black-box manner, and general-purpose methods to securely compute nested black-box functions instantiated from them.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.
项目成果
期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Compact Ring Signatures from Learning With Errors
- DOI:10.1007/978-3-030-84242-0_11
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Rohit Chatterjee;Sanjam Garg;Mohammad Hajiabadi;Dakshita Khurana;Xiao Liang;Giulio Malavolta;Omkant Pandey;Sina Shiehian
- 通讯作者:Rohit Chatterjee;Sanjam Garg;Mohammad Hajiabadi;Dakshita Khurana;Xiao Liang;Giulio Malavolta;Omkant Pandey;Sina Shiehian
Towards a Unified Approach to Black-Box Constructions of Zero-Knowledge Proofs
走向零知识证明黑盒构造的统一方法
- DOI:
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Liang, X.;Pandey, O.
- 通讯作者:Pandey, O.
A New Approach to Efficient Non-Malleable Zero-Knowledge
高效不可延展零知识的新方法
- DOI:
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Kim, A.;Liang, X.;Pandey, O.
- 通讯作者:Pandey, O.
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Omkant Pandey其他文献
Achieving Constant Round Leakage-Resilient Zero-Knowledge
- DOI:
10.1007/978-3-642-54242-8_7 - 发表时间:
2014-02 - 期刊:
- 影响因子:0
- 作者:
Omkant Pandey - 通讯作者:
Omkant Pandey
On the Exact Round Complexity of Self-composable Two-Party Computation
论自组合二方计算的精确轮复杂度
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Sanjam Garg;Susumu Kiyoshima;Omkant Pandey - 通讯作者:
Omkant Pandey
Non-Malleable Zero Knowledge: Black-Box Constructions and Definitional Relationships
不可延展的零知识:黑盒结构和定义关系
- DOI:
- 发表时间:
2014 - 期刊:
- 影响因子:0
- 作者:
Abhishek Jain;Omkant Pandey - 通讯作者:
Omkant Pandey
Improved algorithms for optimal embeddings
改进的最佳嵌入算法
- DOI:
10.1145/1383369.1383376 - 发表时间:
2008 - 期刊:
- 影响因子:0
- 作者:
Nishanth Chandran;R. Moriarty;R. Ostrovsky;Omkant Pandey;A. Sahai - 通讯作者:
A. Sahai
A New Approach to Post-Quantum Non-Malleability
后量子不可延展性的新方法
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Xiao Liang;Omkant Pandey;Takashi Yamakawa - 通讯作者:
Takashi Yamakawa
Omkant Pandey的其他文献
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{{ truncateString('Omkant Pandey', 18)}}的其他基金
CAREER: Concurrent Security Against Quantum Adversaries
职业:针对量子对手的并发安全
- 批准号:
2144303 - 财政年份:2022
- 资助金额:
$ 49.91万 - 项目类别:
Continuing Grant
AF: Small: Collaborative Research: New Representations for Learning Algorithms and Secure Computation
AF:小型:协作研究:学习算法和安全计算的新表示
- 批准号:
1907908 - 财政年份:2019
- 资助金额:
$ 49.91万 - 项目类别:
Standard Grant
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