CICI: Secure Data Architecture: Collaborative Research: Assured Mission Delivery Network Framework for Secure Scientific Collaboration

CICI：安全数据架构：协作研究：确保安全科学协作的任务交付网络框架

• 批准号: 1547390
• 负责人: Elisa Bertino
• 金额: $ 13.98万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1547390&HistoricalAwards=false
• 关键词: CICI; Secure; Data; Architecture; Collaborative

Collaborative, multi-disciplinary and multi-institutional research projects require secure and resilient cyberinfrastructure in order to efficiently support data sharing, access to remote scientific instruments, video-conferencing and on-line discussions. The underlying network plays a crucial role in supporting these needs in that it must provide assurance about the security of data and collaborative activities. This project addresses such requirement by designing and developing a network architecture to securely share data among groups of scientists. A community of scientists sharing a common interest and supporting resources is called a mission. This project will design and prototype the architecture of the Assured Mission Delivery Network (AMDN), which will enable collaboration among scientific communities involving multiple independent organizations with varying levels of trust. They novelty of AMDN lies in the notion of network-level Mission Assurance Services (MAS); these services allows mission directors to specify actions to be taken by the network to deal with attacks and anomalies and to quickly reconfigure the network to best assure the successful completion of the mission. Security is the key part of the AMDN design, and addresses essential functionality such as authentication, integrity, accountability and privacy. AMDN also includes Collective Anomaly Detection, in which intra- and inter-cloud networking alarms and anomalies indicative of attacks are combined and used for mission assurance strategies. The detected anomalies and alarms are correlated over the whole system in order to detect sophisticated attacks that might be undetectable at the single node level. The security of the entire system is flexible and programmable depending on the nature of collaborations, computing resources needed, and various requirements of scientists. In addition to scientific use, AMDN can be used for commercial applications such as financial data sharing among banks or health data sharing among hospitals and between critical infrastructures such as Smart Grids. Although AMDN is primarily designed for wide-area network usage, it can be used for services and clients residing inside a single cloud or data center.

合作，多学科和多机构研究项目需要安全且有弹性的网络基础设施，以便有效地支持数据共享，访问远程科学仪器，视频会议和在线讨论。基础网络在支持这些需求方面起着至关重要的作用，因为它必须提供有关数据和协作活动安全性的保证。该项目通过设计和开发网络体系结构来在科学家群体之间安全共享数据来满足这种要求。分享共同利益和支持资源的科学家社区称为任务。该项目将设计和原型构建保险任务交付网络（AMDN）的体系结构，该架构将使涉及多个具有不同信任水平的独立组织之间的科学社区合作。 它们的AMDN新颖性在于网络级任务保证服务（MAS）的概念；这些服务允许任务主管指定网络采取的措施来处理攻击和异常，并迅速重新配置网络，以确保成功完成任务。安全是AMDN设计的关键部分，并解决了基本功能，例如身份验证，诚信，问责制和隐私。 AMDN还包括集体异常检测，其中结合了攻击并用于任务保证策略的云间和云间网络警报和异常。检测到的异常和警报在整个系统上相关联，以检测在单节点级别可能无法检测到的复杂攻击。整个系统的安全性是灵活的，可以根据协作的性质，所需的计算资源以及科学家的各种要求。除了科学使用外，AMDN还可用于商业应用，例如银行之间的财务数据共享或医院之间以及关键基础设施（例如智能电网）之间的健康数据共享。尽管AMDN主要用于广泛的网络使用情况，但它可用于驻留在单个云或数据中心内的服务和客户。