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.

该项目解决了国土安全性，这是一个最高国家优先事项的问题，其目的是监测，预防和从自然和造成的灾难中恢复。 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.这种多学科的多元大学提议的独特性在于（i）在（i）有效的数据收集和从异质传感器和监视器中汇总的拟议研究的协同组合； （ii）通过新的学习，数据挖掘和知识发现技术，用于实时，有担保，经过身份验证的信息传输和共享的新技术，以及（ii）智能状况意识（例如，威胁检测和安全服务）。该项目将主要关注无线网络中的身份验证和安全数据传输。该项目将将这些研究工作整合到普遍社区计算的新型范式中，这些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，并根据用户，设备和数据大小的数量提供可扩展性。