CAREER: Towards Practical Systems for Trustworthy Cloud Computing

职业：迈向可信赖云计算的实用系统

• 批准号: 1652259
• 负责人: Charalampos Papamanthou
• 金额: $ 45万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-04-01 至 2024-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1652259&HistoricalAwards=false
• 关键词: CAREER; Towards; Practical; Systems; Trustworthy

An increasing number of individuals, enterprises, and governments migrate their data and applications to the cloud. Computations delegated to the cloud may return erroneous results, outsourced files may be lost or discarded, and sensitive information may be arbitrarily accessed for advertising purposes. This project enhances the ability of cloud companies to integrate advanced protection mechanisms into their products, benefiting the online safety of cloud clients. The project also aims to improve security education via new undergraduate and graduate curriculum and outreach to high schoolstudents.This project addresses foundational problems on the security, availability, and privacy of cloud computing by using an application-driven approach and demonstrates the broad applicability of this theory in practice. The project develops low bandwidth andsub-linear computation protocols for securely recovering correct data blocks and computation results. The researchers investigate practical and expressive privacy preserving algorithmswith reduced leakage profiles and low I/O complexity for advanced queries on encrypted static and dynamic data. They also develop new fundamental techniques for verifying frequently recurrent classes of delegated computations

越来越多的个人、企业和政府将他们的数据和应用程序迁移到云。委托给云计算的计算可能会返回错误的结果，外包文件可能会丢失或丢弃，敏感信息可能会出于广告目的而被任意访问。该项目增强了云公司将先进的保护机制集成到其产品中的能力，有利于云客户的在线安全。该项目还旨在通过新的本科和研究生课程以及向高中生推广来改善安全教育。该项目通过使用应用程序驱动的方法解决了云计算的安全性、可用性和隐私性方面的基本问题，并展示了该理论在实践中的广泛适用性。该项目开发低带宽和亚线性计算协议，以安全地恢复正确的数据块和计算结果。研究人员研究了实用和富有表现力的隐私保护算法，减少了泄漏概况和低I/O复杂性，用于加密静态和动态数据的高级查询。他们还开发了新的基本技术来验证频繁出现的委托计算类