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

提案#：10-40442 PI(S)：詹，贾斯汀机构：达科他州立大学标题：mri/Acq：建立研究和教育信息保障基础设施的设备项目建议：该项目由一所处于EPSCoR状态的非博士授牌大学，获得一套联网计算设备，旨在促进高性能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作计算的软件。这项工作需要大量的计算、模拟和大量的数据挖掘和分析，使以下研究项目成为可能：-针对半诚实对手的隐私保护协同数据挖掘，-针对恶意对手的隐私保护协同数据挖掘，以及-隐私保护协议库的开发。这些项目解决了对国家至关重要的问题？S安全，并为培养研究生的信息隐私和安全做出了贡献。因此，该工具有助于三个主要活动：-解释半诚实参与者的算法；-解释恶意参与者的算法；以及-与社区共享的隐私保护数据挖掘软件库。工作旨在通过系统地研究隐私保护协作计算和执行大规模模拟来统一衡量隐私的不同指标。该小组是第一批在隐私保护协作数据挖掘中从理论和实验上研究隐私保护的组织之一。开发的隐私保护协议库预计将极大地促进该地区的研究。广泛的影响：该工具应该为教职员工和研究生提供一个独特的研究设施，以便在EPSCoR州的一个以本科生为主的机构进行隐私增强技术和教育的研究。该州的其他机构和行业预计将受益于对所要求的信息保证工具的本地和远程访问。此外，该项目还涉及和/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.