CAREER: Towards Efficient Cryptography for Next Generation Applications

职业：面向下一代应用的高效密码学

• 批准号: 1942400
• 负责人: Feng-Hao Liu
• 金额: $ 50万
• 依托单位: Florida Atlantic University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-01 至 2023-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1942400&HistoricalAwards=false
• 关键词: CAREER; Towards; Efficient; Cryptography; Next

During the past decade, cryptographers have identified several directions to meet future security demands like secure outsourced environments, robustness against non-traditional attacks, and post-quantum crypto systems. Despite many exciting advances, many of these instantiations are still far from practical, which reduces their potential impact. This project will provide critical thrusts towards reducing these restrictions in order to make these techniques more applicable in practice. This project introduces new research-intensive courses on homomorphic computation, defines appropriate research activities for training students, and has numerous outreach activities to underrepresented groups including middle school students. This project focuses on improving two significant classes of lattice-based cryptography: (1) homomorphic computation, and (2) security against non-traditional attacks. These two classes provide powerful tools to secure data in both outsourced and portable environments, and additionally achieve post-quantum security. Particularly, this project starts with several recently developed techniques that connect homomorphic computation with (1) improved efficiency of identity-based encryption, (2) tighter/stronger security, and (3) non-traditional attacks. The objective is to refine these recent approaches and design practically efficient solutions. The outcomes would yield multiple efficient post-quantum crypto systems, contributing to further post-quantum standardizations, and providing secure methods for more advanced applications. Techniques developed in this project are expected to bring critical insights for making a leap towards the general goal, aiming at building truly practical solutions for all homomorphic computation and security against non-traditional attacks.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.

在过去的十年中，密码学家已经确定了几个方向，以满足未来的安全需求，例如安全外包环境，针对非传统攻击的稳健性和量词后加密系统。尽管有许多令人兴奋的进步，但其中许多实例化仍然远非实用，从而减少了它们的潜在影响。该项目将为减少这些限制提供关键的推力，以使这些技术在实践中更适用。该项目介绍了有关同态计算的新的研究密集型课程，为培训学生定义了适当的研究活动，并为包括中学生在内的代表性不足的群体提供了许多外展活动。该项目致力于改善两种重要类别的基于晶格的密码学：（1）同构计算，以及（2）针对非传统攻击的安全性。这两个类提供了在外包和便携式环境中确保数据的强大工具，并实现了量子后的安全性。特别是，该项目始于几种最近开发的技术，这些技术将同态计算与（1）提高基于身份的加密效率，（2）更紧密/更强的安全性以及（3）非传统攻击的效率提高。目的是完善这些最近的方法并实际设计有效的解决方案。结果将产生多种有效的量子后加密系统，有助于进一步的量子后标准化，并为更高级的应用提供安全的方法。预计该项目中开发的技术将带来迈向一般目标的关键见解，旨在为所有同构计算和对非传统攻击的安全性建立真正的实用解决方案。该奖项反映了NSF的法定任务，并通过使用该基金会的智力功能和广泛的影响来评估CRITERIA，并认为通过评估来进行评估。

项目成果

New Lattice Two-Stage Sampling Technique and Its Applications to Functional Encryption - Stronger Security and Smaller Ciphertexts

• DOI: 10.1007/978-3-030-77870-5_18
• 发表时间: 2021
• 期刊: IACR Cryptol. ePrint Arch.
• 作者: Qiqi Lai;Feng-Hao Liu;Zhedong Wang

Rate-1 Key-Dependent Message Security via Reusable Homomorphic Extractor against Correlated-Source Attacks

• DOI: 10.1007/978-3-030-75245-3_16
• 发表时间: 2021
• 作者: Qiqi Lai;Feng-Hao Liu;Zhedong Wang

Ring-Based Identity Based Encryption - Asymptotically Shorter MPK and Tighter Security

• DOI: 10.1007/978-3-030-90456-2_6
• 发表时间: 2021
• 作者: Parhat Abla;Feng-Hao Liu;Han Wang;Zhedong Wang

FedTrust: Towards Building Secure Robust and Trustworthy Moderators for Federated Learning

FedTrust：为联邦学习构建安全、稳健、值得信赖的调节器

• DOI: 10.1109/mipr54900.2022.00063
• 发表时间: 2022
• 期刊: MIPR
• 作者: Hsu, Chih-Fan;Huang, Jing-Lun;Liu, Feng-Hao;Chang, Ming-Ching;Chen, Wei-Chao
• 通讯作者: Chen, Wei-Chao

Nonmalleable Digital Lockers and Robust Fuzzy Extractors in the Plain Model

• DOI: 10.1007/978-3-031-22972-5_13
• 发表时间: 2022
• 作者: Daniel Apon;Chloé Cachet;Benjamin Fuller;Peter Hall;Feng-Hao Liu