ITR Collaborative Research: Pervasively Secure Infrastructures (PSI): Integrating Smart Sensing, Data Mining, Pervasive Networking, and Community Computing

ITR 协作研究：普遍安全基础设施 (PSI)：集成智能传感、数据挖掘、普遍网络和社区计算

• 批准号: 1404694
• 负责人: Sajal Das
• 金额: $ 0.3万
• 依托单位: Missouri University of Science and Technology
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-08-31 至 2014-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1404694&HistoricalAwards=false
• 关键词: ITR; Collaborative; Research; Pervasively; Secure

This project addresses homeland security, an issue of the highest national priority, with a goal of monitoring, preventing, and recovering from natural and inflicted disasters. In particular, in collaboration with team from UT Arlington, Penn State University and the University of Kentucky, the project will create a novel technology-enabled security framework, called Pervasively Secure Infrastructures (PSI), that will make use of such advanced technologies as smart sensors, wireless networks, pervasive computing, mobile agents, data mining, and profile-based learning in an integrated, collaborative and distributed manner. The uniqueness of this multi-disciplinary, multi-university proposal lies in the synergistic combination of the proposed research in (i) efficient data collection and aggregation from heterogeneous sensors and monitors; (ii) novel techniques for real-time, secured, authenticated information transmission and sharing, and (ii) intelligent situation awareness (e.g., threat detection and security services) through new learning, data mining, and knowledge discovery techniques. The project will mainly focus on authentication and secure data transmission in wireless networks. The project will integrate these research efforts in the novel paradigm of pervasive community computing that can efficiently handle dynamically changing information, adapt to changing situations, and provide scalability in terms of the number of users, devices, and data sizes.

该项目涉及国土安全这一国家最高优先事项，目标是监测、预防自然灾害和灾害后的恢复。特别是，与来自UT阿灵顿，宾夕法尼亚州立大学和肯塔基州大学的团队合作，该项目将创建一个新的技术支持的安全框架，称为普遍安全的网络结构（PSI），将利用智能传感器，无线网络，普及计算，移动的代理，数据挖掘和基于配置文件的学习等先进技术，以集成，协作和分布式的方式。这个多学科、多大学提案的独特之处在于所提出的研究在以下方面的协同组合：（i）来自异构传感器和监视器的有效数据收集和聚合;（ii）用于实时、安全、认证信息传输和共享的新技术;以及（ii）智能态势感知（例如，威胁检测和安全服务），通过新的学习，数据挖掘和知识发现技术。该项目将主要集中在无线网络中的身份验证和安全数据传输。该项目将把这些研究工作整合到普适社区计算的新范式中，这种新范式可以有效地处理动态变化的信息，适应不断变化的情况，并在用户数量、设备和数据大小方面提供可扩展性。