Security, Scalability and Agility in Distributed Network and Storage Systems

社交网络、移动的应用程序、基于云的服务和物联网设备的使用正在迅速改变计算模式，从而实现全新的技术格局。为了充分利用这种新模式所提供的优势，需要大胆的创新来解决关键问题：隐私，安全性，效率和可扩展性一直是这个新的互联世界中最受关注的问题。目前的系统都没有设计成我们今天所需要的容量、连接性或使用率。该提案的一部分侧重于建立下一代预防和检测系统。这些系统将为利用新兴软件定义网络技术的系统提供新颖和全面的自动化监控和访问控制。我们计划设计轻量级的、独立的软件，这些软件可以在不同的平台上运行，并且任务可以从一个设备无缝地移动到另一个设备。我们还将为大型系统建立一个信任框架，该框架是安全的，并考虑到系统中各个级别和节点的信息。近年来，人们逐渐转向软件和基于云的存储，有人估计，到2020年，我们所有信息的80%以上将被远程存储。该提案的另一部分重点关注基于软件的智能分布式存储系统，这些系统可以根据不同的指标和性能要求轻松配置。此解决方案将使用强大的加密算法保护数据的机密性，同时提供上级功能和可扩展性。** 该项目将保护人们数据的隐私，而不会限制他们对他们所喜爱的技术的访问。 该项目还允许为一个新兴行业培训HQP，目前该行业对这些高度专业化的专业知识需求迫切。

The use of social networks, mobile applications, cloud-based services and Internet of Things devices is rapidly changing the computing paradigm, enabling a brand new technological landscape. To fully take advantage of what this new paradigm offers, bold new innovations are needed to address key issues: privacy, security, efficiency and scalability have been some of the top concerns in this new connected world. None of the current systems were designed with the volume, connectivity, or usage that we require today. Part of this proposal focuses on building next generation prevention and detection systems. These systems will provide novel and comprehensive automated monitoring and access control of systems that utilize the emerging Software-Defined Networking technology. We are planning to ***design lightweight, standalone, pieces of software that can run on different platforms, and for which tasks can be moved seamlessly from one device to another. We will also build a trust framework for large scale systems, that is secure and takes into account information from various levels and nodes in the system. In recent years, there has been a gradual shift to software, cloud-based storage, with some estimates claiming that more than 80% of all of our information will be remotely stored by 2020. Another part of this proposal focuses on smart, software-based distributed storage systems that can be easily configured based on different metrics and performance requirements. This solution will protect the confidentiality of data using strong encryption algorithms, while providing for a superior functionality and scalability. ******This project will secure the privacy of people's data without limiting their access to the technology they have come to love. This project also allows for training of HQP for an emerging industry in which there is currently an acute demand for these highly specialized expertise.