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

提案编号：10- 40442主要研究者：Zhan，Justin机构：Dakota State University职位： MRI/采集：为研究和教育建立信息保障基础设施的设备项目建议：该项目来自EPSCoR州的一所非博士授予大学，获得一套网络计算设备，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，需要广泛的计算，模拟和大量的数据挖掘和分析，使以下研究项目：-隐私保护合作数据挖掘对半诚实的对手，-隐私保护合作数据挖掘对恶意的对手，和-隐私保护协议库的发展。的安全性，并有助于培养研究生在信息隐私和安全。因此，该工具有助于三个主要活动：-算法，以占半诚实的参与者;-算法，以占恶意的参与者;和-软件库的隐私保护数据挖掘与社区共享。这项工作的目的是统一不同的度量隐私系统研究隐私保护的协作计算和执行大规模的模拟。该小组是第一个研究隐私保护理论和实验隐私保护合作数据挖掘。开发的隐私保护协议库预计将大大有利于在area.Broader影响的研究：这种仪器应提供一个独特的研究设施，教师和研究生进行隐私增强技术和教育的研究，主要是本科院校在EPSCoR状态。预计该州的其他机构和行业将受益于对所请求的信息保证工具的本地和远程访问。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.