D-ISN: TRACK 1: Collaborative Research: An Interdisciplinary Approach to Understanding, Modeling, and Disrupting Drug and Counterfeit Illicit Supply Chains

这项为期五年的《破坏非法供应网络的运作》（Disrupting Operations of Illicit Supply Networks，D-ISN）研究的目的是了解网络世界中非法行为者在开放网络和暗网络中的运作，以及在线药品销售、假药和商品（包括个人防护装备（Personal Protective Equipment，PPE））的供应链和支付系统。它旨在通过创建工具和供应链模型来促进改变游戏规则的技术创新，以改善对非法来源产品的发现和可追溯性，并确定有效的破坏战略。这些供应链将通过洗钱利润从源头到交付进行研究。结果将由来自开放和黑暗网站的数据集以及工业合作者提供的数据提供。 该项目将提高我们的国家能力，以打击网络世界和社交媒体中的恶意活动，利用数学模型，供应链分析和计算机科学来检测和破坏毒品和假冒供应链。 该项目使用了一套多学科的方法，包括数据分析，数学建模和人种学方法，以促进我们对在线毒品和假冒供应链以及如何破坏它们的理解。特别是，该项目将致力于打击毒品和假冒非法供应链的三个主要目标：（1）通过使用来自支付处理、托管、地下通信和法庭案件的数据，定量和定性地了解和发现非法贸易模式;（2）构建供应链的描述，然后使用适当的技术（如非合作博弈理论框架，研究不同的破坏战略;（3）研究不同的破坏战略，可以由政府，企业和多边行为者实施的可能性。该项目将整合先进的自动数据收集和分析工具、对非法贩运网络的社会学分析以及对抗性博弈论框架。该项目团队与业界的合作以及与执法机构的讨论将促进一个互动的过程，可以微调中断技术，并提出务实的现实世界的实施战略和政策建议。该奖项反映了NSF的法定使命，并已被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。

The objective of this five-year Disrupting Operations of Illicit Supply Networks (D-ISN) study is to understand the operations of illicit actors in the cyberworld, in both the open web and dark web, and the supply chains and payment systems for online drug sales, counterfeit pharmaceuticals, and goods, including Personal Protective Equipment (PPE). It seeks to catalyze game-changing technological innovations by creating tools and supply chain models to improve discovery and traceability of illicitly sourced products and identify effective disruption strategies. These supply chains will be studied from source to delivery through the money laundering of profits. The results will be informed by datasets drawn from open and dark websites and from data made available by industrial collaborators. The project will advance our national ability to counter malicious activities in the cyberworld and social media innovative approaches using mathematical models, supply chain analytics and computer science for the detection and disruption of drug and counterfeit supply chains. The project uses a multidisciplinary set of methods which include data analysis, mathematical modeling, and ethnographic approaches to advance our understanding of online drug and counterfeit supply chains and how to disrupt them. Specially, this project will address three major goals in combating drug and counterfeit illicit supply chains: (1) understanding and detecting the illicit trade patterns quantitatively and qualitatively by using data from the payment processing, hosting, underground communications and court cases; (2) constructing a description of the supply chain that can then be modeled using appropriate techniques such as non-cooperative game theory framework to study different disruption strategies; and (3) studying the possibility of different disruption strategies that could be implemented by government, corporate and multilateral actors. The project will integrate advanced automated data collection and analysis tools, and sociological analysis of the illicit trafficking networks, and adversarial game theory frameworks. The project team's collaboration with industry and discussions with law enforcement agencies will facilitate an interactive process that can fine-tune disruption techniques and suggest pragmatic real-world implementation strategies and policy recommendations.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.