MBSE 分析与ampamp; 利用美国国家关键功能 (NCF) 更新美国基础设施数据分类标准 (IDT)

Anthony A. Adebonojo, Kirk A. Moen, Jennifer L. Russell
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摘要

在本文中,我们将展示如何应用基于模型的系统工程(MBSE)工具和技术,协助美国国土安全部(DHS)/网络安全基础设施安全局(CISA)分析开放源基础设施数据分类标准(IDT)数据,以分析和促进其 IDT 所需的更新。我们将展示如何使用功能分析、逻辑结构分类法和 MBSE 工具与国土安全部的国家关键功能 (NCF) 一起分析 IDT,以建议和改进 IDT 的更新。我们还建议对 NCF 本身进行明显改善。我们未来的建议是,由 INCOSE 关键基础设施保护和恢复 (CIPR) 团队成员与其他 INCOSE 工作组 (WG) 一起继续开展这项工作,并在此模型数据的基础上探索其他用例,同时邀请其他主题专家 (SME) 协助改进工作。这项建模工作展示了这些 MBSE 工具的用途,同时与其他组织合作,利用系统理论和思想领导力改进关键基础设施 (CI) 领域。我们将概述利用所提供的 MBSE 能力在可能对国土安全部有用的多个领域进行探索的进一步途径,并将讨论在年度挑战中与国土安全部进行长期合作的可能性。这项挑战与其他多个项目的挑战类似,将包括与对 CI 空间建模感兴趣的大学和其他 CI / CIPR 实体开展合作。进一步扩展该模型的其他机会包括但不限于安全/网络安全、操作和服务建模用例,涉及工业控制系统 (ICS) 等等。我们已经展示了这些工具在水/污水领域的使用效果和效率,但在应用于所有已确定的领域和国际社会(如交通、电信等)时,也将产生类似的效益。有趣的是,我们在初步分析中发现,由于各种原因,国际上不同地区和国家的部门、子部门、分部、子分部和资产的各种分类标准略有不同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MBSE Analysis & Update of U.S. Infrastructure Data Taxonomy (IDT) Using U.S. National Critical Functions (NCFs)

In this paper, we will demonstrate the application of Model&dash;Based Systems Engineering (MBSE) tools and techniques we have used to assist the U.S. Department of Homeland Security (DHS) / Cybersecurity Infrastructure Security Agency (CISA) in analysis of open&dash;source Infrastructure Data Taxonomy (IDT) data to analyze and contribute to the updates required for their IDT. We will show how we have used Functional Analysis, Logical Structure Taxonomies, and MBSE tools to analyze the IDT alongside the DHS National Critical Functions (NCFs) to recommend and improve these updates for their IDT. We have also proposed updates to the NCFs themselves where obvious improvements could be made. Our future recommendations are to continue this effort as a team of INCOSE Critical Infrastructure Protection and Recovery (CIPR) team members, along with other INCOSE Working Groups (WGs), and to explore other use cases based on this model data, as well as inviting other Subject Matter Experts (SMEs) to assist in the enhancements. This modeling effort demonstrated the use of these MBSE tools while working together with other organizations to enable improvements to the Critical Infrastructure (CI) space leveraging systems theory &amp; thought leadership. We will outline further avenues for exploration using this provided MBSE capability in multiple areas that could be useful to the DHS, and will discuss a potential longer&dash;term engagement with DHS in an annual challenge. This challenge similar to those led by multiple other projects will include collaborations with universities and other CI / CIPR entities interested in this modeling of the CI space. Other opportunities to extend the model further include, but are not limited to security / cybersecurity, operational, and services modeling use cases, involving Industrial Control Systems (ICS) and much more. We have shown how these tools are effective and efficient for use in the water / wastewater sector, but will also yield similar benefits when applied across all identified sectors and across the international community as well (i.e., transportation, telecommunications, etc.). Interestingly we have seen in our initial analyses that the various taxonomies across sectors, subsectors, segments, subsegments, and assets vary slightly between regions and countries internationally for various reasons.

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