Enabling New Applications via Cryptographic Tools for Data In-Use

通过加密工具为使用中的数据启用新应用程序

• 批准号: RGPIN-2020-07014
• 负责人: Gorbunov, Sergey
• 金额: $ 2.91万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=741547
• 关键词: Enabling; New; Applications; via; Cryptographic

Cryptography is a foundational science that enables the design of tools, protocols, and systems that protect communications, data, programs, financial transactions, and more. Classical cryptographic mechanisms served us well to transmit data securely from one user to another even when an adversary compromises the communication medium between the users. However, in recent years, we are seeing a fundamental shift in the global computing model. In the new model, users have lightweight mobile devices, laptops, or Internet-of-Things devices. These devices feed data from remote agents (e.g., cloud providers, public ledgers) and query these agents to perform computations over the data. But can these models truly scale to their potentials without data and computations privacy? Can we enable new types of applications if trust and privacy features were enabled by default into these environments? My long-term research program is to develop new theoretical models, constructions, and systems that enable new applications by protecting data in-use and computations in untrusted and distributed environments. These new applications will have built-in privacy and security properties and empower users and organizations to gain control of their personal data, share, and operate on it in securely. In this project I will: (1) design new security models, methods and algorithms for secure computation over encrypted data, (2) construct new algorithms for secure processing of machine learning and AI, and (3) build systems and new applications that enable secure data and program processing in untrusted environments. Research is still at the frontiers of what modern cryptography can offer to protect future systems. The algorithms and systems built during this research will enable researchers and industry practitioners to construct new types of applications with build-in trust and security guarantees. Applications of these solutions will span domains classifying from secure machine learning processing to databases, distributed systems, and distributed ledger technologies. During the course of this research, I will train undergraduate and graduate students to build new cryptographic primitives, develop new models and systems, and enable them to help secure the national infrastructure and data of Canadian citizens.

密码学是一门基础科学，可以设计工具，协议和系统，以保护通信，数据，计划，金融交易等等。即使广告损害用户之间的通信媒介，经典的加密机制也可以很好地将数据从一个用户牢固地传输到另一个用户。但是，近年来，我们看到了全球计算模型的基本转变。在新型号中，用户具有轻巧的移动设备，笔记本电脑或图像互联网设备。这些设备从远程代理（例如云提供商，公共分类帐）中馈出数据，并查询这些代理以对数据进行计算。但是，这些模型可以真正扩展到其潜力而没有数据和计算隐私？如果默认情况下启用了这些环境，我们可以启用新的应用程序类型吗？我的长期研究计划是开发新的理论模型，构造和系统，这些模型和系统通过保护不受信任和分布式环境中的数据和计算来启用新应用程序。这些新应用程序将具有内置的隐私和安全属性，并授权用户和组织能够控制其个人数据，共享和安全地进行操作。在此项目中，我将：（1）设计新的安全模型，方法和算法，用于对加密数据进行安全计算，（2）构建用于安全处理机器学习和AI的新算法，以及（3）构建系统和新应用程序，以在未经信任的环境中启用安全数据和程序处理。研究仍然处在现代密码学可以保护未来系统的边界。在本研究中构建的算法和系统将使研究人员和行业从业人员能够构建具有建立信任和安全保证的新型应用程序。这些解决方案的应用将跨越从安全的机器学习处理到数据库，分布式系统和分布式分类帐技术的域。在这项研究过程中，我将培训本科生和研究生，以建立新的加密原语，开发新的模型和系统，并使他们能够帮助确保加拿大公民的国家基础设施和数据。