Project 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.
Contributions the principal discipline(s) of the project; The principal discipline of the project is information assurance. The infrastructure includes high-performance computing facility and is used in our research for extensive computing, simulation, and large amounts of data mining and analysis. other disciplines of science or engineering; Other disciplines of the project includes sociology and information systems. One of the particular research areas in our project is social network privacy issues. Our testing and analysis of social networking has raised many interesting points. Our recent findings is published in the 2nd International Workshop on Network Forensics, Security and Privacy. Our research on social media privacy will be continue and moved forward. the development of human resources; The infrastructure are used daily to support research and education for faculty and students in the College of Business and Information Systems. It provides great opportunities for students to conduct their labs, class projects, and research. The facility is extremely useful to train students in the field and help them get hands on various labs and class projects. the physical, institutional, or information resources that form the infrastructure for research and education; and other aspects of public welfare beyond science and engineering, such as commercial technology, the economy, cost-efficient environmental protection, or solutions to social problems. The infrastructure is used extensively for our research on social network privacy. Our proposed model, SONET, can be used for privacy monitoring and ranking using real data from the Internet. The model provides a novel and practical way to quantify, measure, and evaluate privacy. Our research has many potential to be commercialized and used by social networking companies.
