SGER: Trusted Privacy Preserving Data Mining over Grids

该项目开发了一个面向服务的中间件，以便于在对等网络上的分布式协作应用中执行安全的容错多方计算。正在进行的主要任务包括：-开发SMC应用层(算法/协议)和相关服务，以促进在大规模分布式覆盖网络上无缝、高效和可扩展地执行SMC算法。-设计集成在中间件中的高效SMC内核功能，可满足广泛的SMC应用程序的需求，包括聚合、中值过滤器、排序、选择、图形计算等-在现代网络操作系统环境中高效实施算法和通信协议。-开发支持SMC内核可信执行的分层中间件。该项目使用数据挖掘和网络应用程序作为工具来推动研究问题和相关的解决方案。除了这项研究在推进安全多方计算、分布式算法和网格计算领域的知识方面的重要性外，该项目--促进网格环境的普遍部署--推动了商业和政府实体之间的合作的快速发展。--提供经济高效地获取高性能计算资源的机制，并--帮助对研究生和本科生进行尖端技术培训，并为他们在这一新兴领域担当领导角色做好准备。

This project develops a service oriented middleware to facilitate the execution of secure fault tolerant multiparty computations in distributed collaborative applications over peer-to-peer networks. Salient tasks being pursued include: - Development of SMC application layer (algorithms/protocols) and associated services to facilitate seamless, efficient and scalable execution of SMC algorithms on large scale distributed overlay networks. - Design of efficient SMC Kernel functions integrated within the middleware which can serve the needs of a wide range of SMC applications, including aggregates, median filters, sorting, selection, graph computations, etc. - Efficient implementation of the algorithms and communication protocols in contemporary networked operating system environments. - Development of the layered middleware supporting trusted execution of SMC kernels. The project uses data mining and networking applications as a vehicle to motivate research issues and associated solutions. Apart from the importance of the research in advancing knowledge in the areas of secure multiparty computing, distributed algorithms, and grid computing, the project -- Facilitates pervasive deployment of grid environments, -- Motivates rapid developments of collaborations among commercial and government entities. -- Provides mechanism for cost effective access to high performance computing resources, and -- Helps in training graduate and undergraduate student on cutting-edge technology and prepare sthem to assume leadership role in this emerging field.