TWC: Medium: Collaborative: Seal: Secure Engine for AnaLytics - From Secure Similarity Search to Secure Data Analytics

TWC：媒介：协作：Seal：AnaLytics 的安全引擎 - 从安全相似性搜索到安全数据分析

• 批准号: 1929901
• 负责人: Huijia Lin
• 金额: $ 12.47万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-12-15 至 2020-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1929901&HistoricalAwards=false
• 关键词: TWC; Medium; Collaborative; Seal; Secure

Many organizations and individuals rely on the cloud to store their data and process their analytical queries. But such data may contain sensitive information. Not only do users want to conceal their data on a cloud, they may also want to hide analytical queries over their data, results of such queries, and data access patterns from a cloud service provider (that may be compromised either from within or by a third party).This research designs and implements SEAL, a Secure Engine for AnaLytics over large data on a cloud. SEAL encrypts data using secure encryption schemes, but supports analytical operations through a new approach of building a meta-answer database. SEAL is developed within a security framework that allows specifying different levels of desired security. The design of SEAL in particular explores the tradeoff between security and efficiency, providing solutions with different provable security and efficiency features for a wide variety of analytical operations. Users are able to continue to enjoy the benefits a cloud has to offer, but now without the worry of losing sensitive information and with control over the security and efficiency tradeoff.

许多组织和个人都依靠云来存储其数据并处理其分析查询。但是这样的数据可能包含敏感信息。用户不仅想隐藏其数据在云上，还可能想隐藏其数据，此类查询的结果以及来自云服务提供商的数据访问模式（可能会从内部或第三方遭到损害）。此研究设计和实现密封的密封件，用于对云的大型数据进行的安全发动机。密封使用安全的加密方案对数据进行加密，但通过构建元解答数据库的新方法支持分析操作。密封件是在安全框架内开发的，该框架允许指定不同级别的所需安全性。密封的设计尤其探索了安全性和效率之间的权衡，为各种分析操作提供了不同的可证明安全性和效率功能的解决方案。用户能够继续享受云所能提供的好处，但是现在不必担心失去敏感信息并控制了安全性和效率折衷。