I/UCRC FRP: Risk Assessment Techniques for Off-line and On-line Security Evaluation of Cloud Computing

I/UCRC FRP：云计算离线和在线安全评估的风险评估技术

• 批准号: 1332035
• 负责人: Krishna Kavi
• 金额: $ 8.95万
• 依托单位: University of North Texas
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-08-01 至 2016-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1332035&HistoricalAwards=false
• 关键词: UCRC; FRP; Risk; Assessment; Techniques

Understanding the risk and reliance on specific system security practices is critical in order to formulate a coherent strategy on safe cloud adoption. This work will investigate techniques for security risk evaluation for cloud computing with specific focus on the two areas of off-line risk management and on-line trust evaluation. The research will develop a project assessment model to capture relations between threats, tasks, assets and business logic; develop a vender assessment model to evaluate the vender?s share of security responsibility; and develop a cost benefit trade-off methodology for optimal cloud adoption strategy.Based on these, will develop an on-line assessment methodology for cloud service providers assessment based on different applications, services and vendor compositions.With the proliferation of cloud architectures, it is critical that their security be assessable and issues addressable. The proposed work has the potential to enable loud users to gauge the trust-worthiness of individual cloud elements or aggregated cloud resources and to analyze and suggest appropriate risk mitigation strategy. The work is supported by the Industry Advisory Board and will engage multiple industry members of the center. The center will involve graduate students and be integrated in graduate course offerings. Industry tutorials will also be developed and offered.

了解风险和对特定系统安全实践的依赖对于制定安全云采用的一致战略至关重要。这项工作将调查技术的安全风险评估，云计算的离线风险管理和在线的信任评估的两个领域的具体重点。研究将开发一个项目评估模型，以捕捉威胁，任务，资产和业务逻辑之间的关系，开发一个供应商评估模型，以评估供应商？在此基础上，将根据不同的应用程序、服务和供应商组合，为云服务提供商制定在线评估方法。随着云架构的激增，其安全性可评估和问题可解决至关重要。拟议的工作有可能使大声用户能够衡量单个云元素或聚合云资源的可信度，并分析和建议适当的风险缓解策略。这项工作得到了行业咨询委员会的支持，并将吸引该中心的多个行业成员。该中心将涉及研究生，并将纳入研究生课程。 还将开发和提供行业教程。