CICI: TCR: A Unified Monitoring Approach to Enhancing the Security and Resiliency of Hazard Workflows on Heterogeneous Infrastructures

气候变化和自然灾害给人类和关键的网络基础设施（CI）带来了重大威胁。作为回应，地球科学界采用了一种跨界方法，通过开发包含传感器、边缘计算节点、网络骨干和远程云数据中心的CI和工作流来监测和减轻这些威胁。不幸的是，这种跨界方法容易受到物理（弹性）和网络（安全）威胁的影响。目前用于解决这些威胁的最先进的技术采用了分散的方法，专注于特定的资源，并且对整个危险工作流程证明是无效的。该项目提出了HazardMon框架，它可以横向扩展（从传感器到边缘云到WAN骨干网再到远程云），也可以纵向扩展（跨越硬件和软件堆栈的所有层）来对抗这两种威胁。该项目将开放HazardMon的源代码，并将结果发布到社区。该项目的广泛参与活动将促进社区参与和体验式学习，从而形成一支具有全球竞争力的劳动力队伍。该项目还将与利益相关者合作，特别是NSF SAGE项目，以促进这些想法的实际实施。在罗格斯大学和俄勒冈大学，HazardMon将采用一种跨学科的方法，包括计算机和地球科学，通过三个主要重点来解决这两个威胁。首先，hazard mon将利用美国国家科学基金会资助的Parasol微数据中心来识别各种典型危险场景的威胁遥测。此外，它还将包括一个监控服务，以观察各种传感器、WAN骨干网以及基于已识别的遥测技术的远程云/HPC后端。其次，hazard mon将专注于过滤和处理边缘威胁遥测数据的智能技术，区分威胁遥测数据和危险工作流数据。第三，HazardMon将结合特定于工作流的配置空间来开发弹性策略，以减轻CI资源和工作流之间的物理威胁。此外，它还将采用三层缓解解决方案来应对网络威胁。该奖项由美国国家科学基金会高级网络基础设施办公室颁发，并得到国家气候发现云（NDC-C）资源的支持。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Climate change and natural hazards present significant dangers to both humanity and critical cyberinfrastructures (CI). In response, the Earth Sciences community has adopted a cross-boundary approach to monitoring and mitigating these threats by developing CI and workflows that encompass sensors, edge computing nodes, network backbones, and remote cloud data centers. Unfortunately, this cross-boundary approach is vulnerable to both physical (resiliency) and cyber (security) threats. Current state-of-the-art techniques for addressing these threats take a fragmented approach, focusing on specific resources and proving ineffective for the overall hazard workflow. This project proposes the HazardMon framework, which scales horizontally (from sensors to edge cloud to WAN backbones to remote cloud) and vertically (across all layers of the hardware and software stack) to combat these two threats. The project will open-source HazardMon, and results will be disseminated to the community. The broadening participation activities in this project will catalyze community engagement and experiential learning, resulting in a globally competitive workforce. The project will also collaborate with stakeholders, particularly the NSF SAGE project, to facilitate the practical implementation of these ideas.HazardMon will adopt an interdisciplinary approach that encompasses computer and earth sciences across Rutgers and the University of Oregon, addressing the two threats through three main thrusts. First, HazardMon will utilize the NSF-funded Parasol micro-datacenter to identify threat telemetry for various representative hazard scenarios. Additionally, it will include a monitoring service to observe diverse sensors, WAN backbones, and remote cloud/HPC backends based on the identified telemetry. Second, HazardMon will focus on intelligent techniques to filter and process threat telemetry at the edge, distinguishing between threat telemetry and hazard workflow data. Third, HazardMon will incorporate workflow-specific configuration spaces to develop resilience strategies that mitigate physical threats across CI resources and workflows. Furthermore, it will feature a three-layered mitigation solution to address cyber threats.This award by the NSF Office of Advanced Cyberinfrastructure is also supported by National Discovery Cloud for Climate (NDC-C) resources.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.