CI-SUSTAIN: Sustainable Tools for Analysis and Research on Darknet Unsolicited Traffic (STARDUST).

互联网是一个巨大的企业，将信息传递给世界各地的人和设备。 加州圣地亚哥大学网络望远镜（UCSD-NT）是一个独特的监测系统，十多年来，它使全球能够了解互联网行为，这是其他数据源所不能提供的。 它提供了用于计算机信息科学工程（CISE）及其他领域的广泛子学科的相关数据，从网络和系统安全性和稳定性，到机器学习和大数据处理技术，以及最近的网络战研究。 STARDUST项目将有助于维持UCSD-NT基础设施的运行并扩大其适用性。 稳定和增强的基础设施能力将为各种学术研究人员提供服务，其中绝大多数人无法获得任何其他来源的全球互联网流量数据。 此外，拟议的增强功能将支持宝贵的实践经验，在操作相关的网络安全和流量分析研究为广大观众的计算机科学studies.STARDUST旨在保持持续运作的UCSD-NT基础设施，同时最大限度地提高其效用，从不同学科的研究人员。 工作范围包括升级和现代化当前的基础设施，以处理预测的流量增长，利用圣地亚哥超级计算机中心的虚拟化和NSF资助的高性能计算（HPC）平台进行计算数据分析，并引入元数据语义来简化研究人员通常希望使用UCSD-NT数据进行的许多任务。 拟议的修改将使研究人员有更多的时间（和可用的HPC资源）专注于他们的特定科学问题。 此外，该项目还将在计算机网络领域的研究人员与HPC科学家和工程师之间建立跨学科合作，以试验实时流量分析研究的新方法。 项目结果将有助于推进不同CISE学科的知识，例如，促进制定早期检测和缓解网络攻击的有效策略，支持宏观互联网性能和可靠性评估，并为实时流媒体大数据分析技术的应用开辟新领域。

The Internet is a vast enterprise carrying information to people and devices all over the world. The University of California San Diego Network Telescope (UCSD-NT) is a unique monitoring system which, for over a decade, has enabled global visibility into Internet behavior that few other data sources can offer. It has provided relevant data used in a broad set of sub-disciplines in Computer & Information Science & Engineering (CISE) and beyond, from network and systems security and stability, to machine learning and big data processing techniques, and, most recently, for studies of cyberwarfare. The STARDUST project will help sustain operation and extend the applicability of the UCSD-NT infrastructure. The stabilized and enhanced infrastructure capabilities will serve a diverse range of academic researchers, the vast majority of whom have no access to any other source of global Internet traffic data. In addition, the proposed enhancements will support invaluable hands-on experience in operationally relevant network security and traffic analysis research for a wide audience of computer science students.STARDUST aims at maintaining continued operation of the UCSD-NT infrastructure while maximizing its utility to researchers from various disciplines. The scope of work includes upgrading and modernizing the current infrastructure to handle the predicted growth in traffic, leveraging virtualization and NSF-funded High-Performance Computing (HPC) platforms at the San Diego Supercomputer Center for computational data analysis, and introducing meta-data semantics to simplify many tasks researchers typically want to do with UCSD-NT data. The proposed modifications will leave researchers more time (and available HPC resources) to focus on their specific scientific questions. Moreover, the project will forge an interdisciplinary collaboration between researchers from the field of computer networks and HPC scientists and engineers to experiment with novel approaches for research on live traffic analysis. Project results will contribute to advancing knowledge in diverse CISE disciplines, e.g., facilitating the development of efficient strategies for early detection and mitigation of cyber attacks, supporting macroscopic Internet performance and reliability assessments, and opening a new domain for the application of live streaming big data analysis techniques.