SGER: Trusted Privacy Preserving Data Mining over Grids

本计画开发一个服务导向的中间件，以促进在点对点网路上的分散式协同应用程序中执行安全的容错多方计算。正在进行的突出任务包括：-SMC应用层（算法/协议）和相关服务的开发，以促进SMC算法在大规模分布式覆盖网络上的无缝，高效和可扩展的执行。- 设计有效的SMC内核功能集成在中间件，可以满足广泛的SMC应用程序的需求，包括聚合，中值滤波器，排序，选择，图形计算等-在当代网络操作系统环境中的算法和通信协议的有效实施。- 支持SMC内核可信执行的分层中间件的开发。该项目使用数据挖掘和网络应用程序作为激励研究问题和相关解决方案的工具。除了在安全多方计算、分布式算法和网格计算等领域推进知识研究的重要性外，该项目还促进了网格环境的普及部署，促进了商业和政府实体之间协作的快速发展。--提供以经济高效的方式访问高性能计算资源的机制，以及--帮助培训研究生和本科生掌握尖端技术，并为他们在这一新兴领域担任领导角色做好准备。

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.