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

D-ISN：轨道 1：协作研究：理解、建模和破坏药品和假冒非法供应链的跨学科方法

• 批准号: 2039693
• 负责人: Damon McCoy
• 金额: $ 35万
• 依托单位: New York University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2039693&HistoricalAwards=false
• 关键词: ISN; TRACK; Collaborative; Research; Interdisciplinary

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.

这项五年破坏非法供应网络（D-ISN）研究的目的是了解非法参与者在网络世界中，在开放网络和黑暗网络中的运作，以及用于在线药物销售，伪造药品的供应链和支付系统，以及伪造药品，以及商品，包括个人保护设备（PPE）。它试图通过创建工具和供应链模型来改善非法采购产品的发现和可追溯性并确定有效的破坏策略来催化改变游戏规则的技术创新。这些供应链将通过洗钱利润从来源到交付。结果将通过从开放和黑暗网站以及工业合作者提供的数据中获取的数据集告知。 该项目将提高我们在网络世界和社交媒体创新方法中使用数学模型，供应链分析和计算机科学来检测和破坏药物和伪造供应链的国家创新方法。 该项目使用一组多学科的方法，其中包括数据分析，数学建模和人种学方法来促进我们对在线药物和假冒供应链的理解以及如何破坏它们。特别是，该项目将针对打击药物和伪造非法供应链的三个主要目标：（1）通过使用付款处理，托管，地下通信和法院案件中的数据来定量和定性地理解和检测非法贸易模式； （2）构建供应链的描述，然后可以使用适当的技术进行建模，例如非合作游戏理论框架来研究不同的破坏策略； （3）研究政府，公司和多边行为者可以实施的不同破坏策略的可能性。该项目将整合高级自动数据收集和分析工具，以及非法贩运网络的社会学分析以及对抗游戏理论框架。项目团队与行业的合作以及与执法机构的讨论将有助于互动过程，该过程可以微调破坏技术，并提出务实的现实世界实施策略和政策建议。该奖项反映了NSF的法定使命，并通过使用该基金会的知识优点和广泛的影响来评估NSF的法定任务，并通过评估有价值。

项目成果

Money Over Morals: A Business Analysis of Conti Ransomware

金钱高于道德：Conti 勒索软件的业务分析

• DOI: 10.1109/ecrime57793.2022.10142119
• 发表时间: 2022
• 期刊: 2022 APWG Symposium on Electronic Crime Research (eCrime
• 作者: Gray, Ian W.;Cable, Jack;Brown, Benjamin;Cuiujuclu, Vlad;McCoy, Damon
• 通讯作者: McCoy, Damon

Swiped: Analyzing Ground-truth Data of a Marketplace for Stolen Debit and Credit Cards

Swiped：分析被盗借记卡和信用卡市场的真实数据

• 发表时间: 2021
• 期刊: Usenix Security Symposium
• 作者: Aliapoulios, Maxwell;Ballard, Cameron;Bhalerao, Rasika;Lauinger, Tobias;McCoy, Damon
• 通讯作者: McCoy, Damon