D-ISN: TRACK 2: Using Enterprise Network Models to Disrupt the Operations of Illicit Counterfeit Part Supply Chains for Critical Systems

在过去的20年里，假冒零件已经变得非常普遍，它们渗透到关键系统中，给人类生命和国家安全带来了重大的经济风险。关键系统包括与人类安全（如运输、医疗）、提供关键服务（如基础设施、能源生产）、人道主义和军事任务以及全球经济稳定相关的系统。这些系统的采购费用昂贵，必须长期支持，如果受到假冒部件的损害，后果可能是灾难性的。该项目将在社会技术网络发展和建模的指导下，通过考虑假冒网络与其他非法贩运网络的联系，开发破坏关键系统假冒硬件网络的方法。本项目涉及的假冒硬件包括电子和非电子硬件以及通过增材制造制造的硬件。本项目开展的工作将为有关经济、安全和国家和世界应对假冒零件非法供应网络的复原力的决策和政策提供信息。迄今为止，对假冒零件问题的大部分处理都集中在检测假冒产品上，这是必要的，但代表的是治标，而不是治本。在这个项目中，我们将举办一系列研讨会，参与者包括来自行业、政策、法律、供应链、政府采购、工业安全和反贩运组织的利益相关者。这些讲习班将用于指导社会技术网络的发展和建模，并包括考虑假冒网络与其他非法贩运网络的联系。该问题的技术属性包括：关键系统维持网络内的部件流动、采购和采购实践、伪造检测技术和库存管理。社会属性包括信任、沟通（包括显著的伪造报告污名）和激励反应。开发的网络模型将考虑商业交易和军事采购系统，以便能够识别这些网络中可能的中断点。在该项目中开发的假冒部件网络模型将成为未来可能基于区块链的解决方案的重要和必要的推动因素，并且是关键系统供应链数字孪生的重要组成部分。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。

Counterfeit parts have become widespread over the last 20 years, and their infiltration into critical systems poses a significant economic risk as well as a risk to human life and national security. Critical systems include those associated with human safety (e.g., transportation, medical), the delivery of critical services (e.g., infrastructure, energy generation), humanitarian and military missions, and global economic stability. These systems are expensive to procure, must be supported for long periods, and the consequences, if compromised by counterfeit parts, can be catastrophic. This project will develop methods of disrupting the counterfeit hardware networks for critical systems guided by socio-technical network development and modeling, and through consideration of the counterfeiting network’s connections to other illicit trafficking networks. Counterfeit hardware addressed in this project includes electronic and non-electronic hardware and hardware that is created via additive manufacturing. The work performed in this project will inform decisions and policies about the economy, security, and resilience of the Nation and the world concerning illicit supply networks for counterfeit parts. The majority of the treatment of the counterfeit part problem to date is focused on the detection of counterfeits, which is necessary, but represents treating the symptom, not the cause. In this project, we will conduct a series of workshops that include stakeholders from industry, policy, legal, supply chain, government acquisition, industrial security, and anti-trafficking organizations. The workshops will be used to guide socio-technical network development and modeling, and include consideration of the counterfeiting network’s connections to other illicit trafficking networks. The technical attributes of the problem include: part flows within sustainment networks for critical systems, procurement and acquisition practices, counterfeit detection technologies, and inventory management. The socio-attributes include trust, communication (including significant counterfeit reporting stigmas), and incentive reactions. The network models developed will consider both commercial transactions and military acquisition systems to enable identification of possible points of disruption in those networks. The model for the counterfeit part network developed in this project will form an important and necessary enabler for possible future blockchain-based solutions and is an essential component of a digital twin for the supply chain for critical systems.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.