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Engineering Intrusion Detection and Prevention Services for Hypervisor Cloud Computing Infrastructures (EIDP-HCCI)

Engineering Intrusion Detection and Prevention Services for Hypervisor Cloud Computing Infrastructures (EIDP-HCCI)
虚拟机监控程序云计算基础设施的工程入侵检测和防御服务 (EIDP-HCCI)
批准号:
1449411
负责人:
Karl Walker
金额:
$29.68万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-10-01 至 2016-09-30

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中文摘要
翻译
云的概念实际上是在现有网络基础设施上作为服务交付的应用程序的集成。大多数云生态系统的一个关键组件,即管理程序,是一个独特的实体,用于管理带有云系统的虚拟机。该项目开发协议和算法,以增强入侵检测和防御服务(IDPS)的形式提供安全服务,能够检测云资源内的多阶段入侵攻击。该项目专注于一种特定类型的云生态系统,即基础设施即服务(IaaS),因为它在云社区中占据独特的主导地位。这个项目的另一个独特贡献是开发了一个基于管理程序的入侵检测和防御架构,可以在大多数云生态系统中实现。该项目是与一所本科生占多数的少数民族大学合作开展的,该大学是阿肯色大学派恩布拉夫分校(UAPB);北卡罗来纳州农业和技术州立大学(NCAT), HBCUs;路易斯安那州立大学;IBM的高级研究中心(CAS)作为行业合作伙伴。这项工作将通过开发云计算和云计算安全课程主题的引入模型,以及增加hbcu教师对大数据和云计算资源以及研究/教育机会的接触,确保以本科为导向的多数少数族裔机构的课程得到极大的加强。
英文摘要
The notion of the cloud is really the integration of applications delivered as a service over existing cyberinfrastructure. A key component of most cloud ecosystems, a hypervisor, is a unique entity that manages virtual machines with cloud systems. This project develops protocols and algorithms to provide security services in the form of enhanced intrusion detection and prevent services (IDPS) capable of detecting multistage intrusion attacks within cloud resources. The project focuses on one particular type of cloud ecosystem, that of infrastructure as a service (IaaS), because of its unique dominance within the cloud community. Another unique contribution of this project is the development of an hypervisor-based intrusion detection and prevention architecture that can be implemented in most cloud ecosystems. This project is a collaborative effort with an undergraduate majority-minority university leading the project efforts, the University of Arkansas at Pine Bluff (UAPB); North Carolina Agricultural and Technical State University (NCAT), HBCUs; Louisiana State University; and IBM's Center for Advanced Studies (CAS) as an industry partner. This effort will ensure the curriculum of undergraduate-oriented majority minority institution is greatly enhanced by developing models for the introduction of curriculum topics in cloud computing and cloud computing security, as well as enhancing faculty exposure at HBCUs to big data and cloud computing resources and research/educational opportunities.
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CC*DNI Campus Design: Developing a Scientific Research Network to Support Data-Driven Research at the University of Arkansas at Pine Bluff
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