MRI: Acquisition of Equipment to Establish Information Assurance Infrastructure for Research and Education

提案编号：10-40442PI(s): Zhan， justin机构：Dakota State university头衔：MRI/Acq。项目建议：该项目来自EPSCoR州的一所非博士学位授予大学，购买一套网络计算设备，旨在促进高性能的大规模安全计算研究和教育。这些设备包括高性能服务器、思科路由器和用于大规模安全协同计算的软件。这项工作需要大量的计算、模拟和大量的数据挖掘和分析，可以实现以下研究项目：-针对半诚实对手的隐私保护协作数据挖掘，-针对恶意对手的隐私保护协作数据挖掘，以及-隐私保护协议库开发。这些项目解决了对国家至关重要的问题？并有助于培养信息隐私和安全方面的研究生。因此，该工具有助于三个主要活动：-计算半诚实参与者的算法；-计算恶意参与者的算法；和-与社区共享的保护隐私的数据挖掘软件库。这项工作旨在通过系统地研究隐私保护协同计算和执行大规模模拟来统一不同的隐私度量标准。该小组是第一批从理论上和实验上研究隐私保护的协作数据挖掘。开发的隐私保护协议库有望极大地促进该领域的研究。更广泛的影响：该仪器应该为教师和研究生提供一个独特的研究设施，以便在EPSCoR州的主要本科机构中进行隐私增强技术和教育的研究。该州的其他机构和行业有望从本地和远程访问所要求的信息保障仪器中受益。此外，该项目涉及和/或支持K-12，远程和基于互联网的教育，以及代表性不足的学生。

Proposal #: 10-40442PI(s): Zhan, JustinInstitution: Dakota State UniversityTitle: MRI/Acq.: Equipment to Establish Information Assurance Infrastructure for Research and EducationProject Proposed:This project from a non-PhD granting university in an EPSCoR state, acquiring a set of networking computing devices, aims to facilitate high-performance large-scale secure computing research and education. The devices include high performance servers, Cisco routers, and software for large-scale secure collaborative computing. The work, requiring extensive computing, simulation, and large amounts of data mining and analysis, enables the following research projects:- Privacy-preserving collaborative data mining against semi-honest adversaries,- Privacy-preserving collaborative data mining against malicious adversaries, and- Privacy-preserving protocol library development.The projects address issues critical for the nation?s security and contribute to train graduate students in information privacy and security. Thus the instrument contributes to three main activities:- Algorithms to account for semi-honest participants;- Algorithms to account for malicious participants; and- Software libraries for privacy-preserving data-mining to be shared with the community.The work aims to unify different metrics for measuring privacy by systematically studying privacy-preserving collaborative computing and performing large-scale simulations. The group is among the first investigating privacy protection theoretically and experimentally in privacy preserving collaborative data-mining. The developed privacy-preserving protocol library is expected to dramatically benefit research in the area.Broader Impacts: This instrumentation should provide a unique research facility for faculty and graduate students to conduct research on privacy-enhancing technology and education in a primarily undergraduate institution in an EPSCoR state. Other institutions and industries within the state are expected to benefit from local and remote access to the requested information assurance instrumentation. Moreover, the project involves and/or supports K-12, distance and Internet-based education, and underrepresented students.