Security, Scalability and Agility in Distributed Network and Storage Systems

社交网络、移动应用、云服务和物联网设备的使用正在迅速改变计算范式，形成全新的技术格局。为了充分利用这种新模式提供的优势，需要大胆的创新来解决关键问题：隐私、安全、效率和可扩展性已经成为这个新的互联世界中最受关注的一些问题。当前的系统在设计时都没有考虑到我们今天所需要的容量、连接性或使用情况。该建议的一部分侧重于建立下一代预防和检测系统。这些系统将利用新兴的软件定义网络技术，为系统提供新颖而全面的自动监控和访问控制。我们正计划设计轻量级的、独立的、可以在不同平台上运行的软件，并且这些软件的任务可以无缝地从一个设备转移到另一个设备。我们还将为大型系统建立一个信任框架，该框架是安全的，并且考虑了系统中各个层次和节点的信息。近年来，人们逐渐转向基于软件的云存储，有人估计，到2020年，我们80%以上的信息将被远程存储。该建议的另一部分侧重于智能的、基于软件的分布式存储系统，这些系统可以根据不同的指标和性能要求轻松配置。该解决方案将使用强大的加密算法保护数据的机密性，同时提供优越的功能和可扩展性。这个项目将确保人们的数据隐私，而不会限制他们使用他们喜欢的技术。该项目还允许为新兴行业培训HQP，该行业目前对这些高度专业化的专业知识有迫切需求。

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.