MRI: Development of an Instrument for Assured Cloud Computing

提案#：12-29652 PI(S)：Kahn，Latiur R.；Hamlen，Kevin；Kantarcioglu，MuratInstitution：德克萨斯大学-达拉斯分校标题：磁共振/开发：一种可确保的云计算工具项目建议：该项目，构建一个可确保的云计算工具，作为一个可确保的云来存储、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。该工具由安全的虚拟机监控、安全的存储管理和安全的数据管理服务组成，为扩展应用提供支持，例如安全的社交网络、恶意软件检测、数据来源管理、策略管理、隐私保护分析、本体对齐和有保证的信息共享。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和身份验证机制。该仪器将主要用于工程和计算机科学学院的隐私、有保证的信息共享和参考监控方面的研究项目，与该学院的经济学、政策和政治学、管理学、自然科学和数学的科学家合作。此外，该仪器将供艺术与人文学院和工程学院的联合技术项目的研究人员使用。此外，它还将向国内和国际学术、工业和政府机构的研究人员开放。更广泛的影响：该机构的研究人员目前在由NSF、AFOSR、NIH、DARPA和陆军赞助的领域工作。所有这些受赞助的研究都可以通过为许多应用确保云仪器的安全而受益。研究和教育项目都强烈需要安全地处理海量数据，例如，用于安全多方计算技术研究的加密数据，其中必须在多方之间安全地交换大量语义网数据，以确保联盟伙伴之间的信息共享。这些教育课程包括尝试使用恶意软件检测工具和在云上进行分布式取证。该仪器将提供给多个部门，并在科学与工程、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等多个领域得到应用。因此，它将使国家社区，如开放科学研究社区受益。

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.