MRI: Development of an Instrument for Assured Cloud Computing

MRI：开发有保障的云计算仪器

• 批准号: 1229652
• 负责人: Latifur Khan
• 金额: $ 30万
• 依托单位: University of Texas at Dallas
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-10-01 至 2016-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1229652&HistoricalAwards=false
• 关键词: MRI; Development; Instrument; Assured; Cloud

Proposal #: 12-29652PI(s): Kahn, Latifur R.; Hamlen, Kevin; Kantarcioglu, MuratInstitution: University of Texas - DallasTitle: MRI/Dev.: An Instrument for Assured Cloud ComputingProject Proposed:This project, building an assured cloud computing instrument, serves as an assured cloud to store, manage, query, and analyze massive amounts of relational, as well as textual, imagery, and video data. The instrument, consisting of secure virtual machine monitoring, secure storage management, and secure data management services, provides support for scaling applications such as - Secure social networking, - Malware detection, - Data provenance management, - Policy management, - Privacy preserving analysis, - Ontology alignment, and - Assured information sharing. It supports fine-grained access control, storage of encrypted and sensitive data, complex query processing for massive data sets, and authentication mechanisms. The instrumentation will be mainly utilized by research projects on privacy, assured information sharing, and reference monitoring in the School of Engineering and Computer Science in collaboration with scientist from Economics, Policy and Political Science, Management, Natural Science, and Mathematics at the institution. Additionally, the instrument will be available for use by researchers in the combined technology program between School of Arts and Humanities and Engineering. Moreover, it will be available to researchers in national and international academic, industrial, and governmental institutions. Broader Impacts: Researchers at the institution currently work in the area sponsored by NSF, AFOSR, NIH, DARPA, and Army. All this sponsored research can gain by having the cloud instrument be secured for many applications. Both research and education projects have a strong need to process massive amounts of data securely, for example, encrypted data for research on secure multi-party computation techniques, where large amounts of semantic web data have to be exchanged securely among multiple parties for assured information sharing among coalition partners. The education courses involve experimentation with malware detection tools and distributed forensics on the cloud. The instrument will be made available to multiple departments and have applications in several domains including science and engineering, healthcare, homeland security, defense and intelligence, law enforcement, space, banking and finance, power management, and environmental protection. Consequently, it will benefit the national community such as the open science research community.

提案#:12-29652PI(s): Kahn, Latifur R.；凯文Hamlen;Kantarcioglu， murat机构：德克萨斯大学达拉斯分校职称：MRI/Dev项目建议：该项目构建一个可靠的云计算工具，作为一个可靠的云来存储、管理、查询和分析大量的关系数据，以及文本、图像和视频数据。该仪器由安全虚拟机监控、安全存储管理和安全数据管理服务组成，为扩展应用提供支持，如安全社交网络、恶意软件检测、数据来源管理、策略管理、隐私保护分析、本体对齐和可靠信息共享。它支持细粒度的访问控制、加密和敏感数据的存储、海量数据集的复杂查询处理以及身份验证机制。该仪器将主要用于工程与计算机科学学院与该校经济学、政策与政治学、管理学、自然科学和数学等学科的科学家合作开展的隐私、可靠信息共享和参考监测等研究项目。此外，该仪器将供艺术与人文学院与工程学院联合技术项目的研究人员使用。此外，它还将提供给国内和国际学术、工业和政府机构的研究人员。更广泛的影响：该机构的研究人员目前在NSF， AFOSR， NIH， DARPA和陆军赞助的领域工作。所有这些赞助的研究都可以通过为许多应用程序保护云仪器而获益。研究和教育项目都强烈需要安全地处理大量数据，例如，用于安全多方计算技术研究的加密数据，其中大量语义网数据必须在多方之间安全地交换，以确保联盟伙伴之间的信息共享。教育课程包括恶意软件检测工具的实验和云上的分布式取证。该仪器将提供给多个部门，并在多个领域得到应用，包括科学和工程、医疗保健、国土安全、国防和情报、执法、空间、银行和金融、电力管理和环境保护。因此，它将使开放科学研究界等国家社区受益。