By Samantha B. Larkin

Niki Hutchinson, at twenty-four years of age, decided it was time to start dating. She thought she connected with a guy named Hao on Hinge, a dating website. The two started messaging and formed a bond after Hao told Niki he was born in the same town in China from which she was adopted. After learning she recently lost her mom, Hao offered to help Niki make money with her inheritance and told her he knew how to invest in cryptocurrency. While Niki was initially skeptical, Hao eventually instructed Niki on how to make wire transfers from her bank account to Crypto.com, an exchange platform. Through illustrated screenshots and text messaging, Hao described to Niki exactly how to use the platform. From there, Hao convinced Niki to transfer her crypto assets to another website. On the second platform, Niki saw profits in her account and decided to keep investing. She even convinced her father to invest in cryptocurrency too. But when Niki went to withdraw her virtual funds, she was informed that she needed to pay the tax bill with a new transfer of capital to release her earnings. The realization then set in that Niki and her dad lost over $390,000 to scammers. The scam Niki encountered is called “pig butchering.” Pig butchering is a billion-dollar industry of loss, draining American bank accounts, according to official government publications. Scammers abroad invented the term, referring to the concept of “fattening a pig before the slaughter,” where the goal is to nourish trust and confidence in a virtual relationship before conning the victim out of their money and slaughtering their savings. Cryptocurrency is the signature of the scheme. According to complaints received by the Federal Bureau of Investigation’s (FBI) Internet Crime Complaint Center (IC3), the typical targets in crypto-investment scams are individuals between the ages of thirty and forty-nine. Aiming at young professionals with disposable income, these scammers vet their targets to ensure a level of sophistication with technology and susceptibility to emotional manipulation. Scammers then coach their targets into virtual exchanges on false websites, where the victims are manipulated into believing they are making a profit. Their investments increase over time, typically until the victim attempts to cash out their illusory gains, and then the scam reaches its final stage: the victim is informed they need to pay exorbitant taxes or fees with fresh crypto transfers in order to release their funds. In reality, their assets were already gone. (continued)

Roger Williams University Law Review, Volume 30, Issue 1 (2025) Winter 2025, 47p.

By Deanna Davy

The transnational organized crime (TOC) landscape in Southeast Asia has evolved dramatically in recent years. Trafficking in persons for the purpose of forced criminality to commit online scams and financial fraud, particularly occurring in Special Economic Zones (SEZs) and other areas of Cambodia, Lao People’s Democratic Republic (PDR), and Myanmar, as well as other destination countries (including Malaysia, and the Philippines), has emerged as a new and growing trend. Trafficking in persons for forced criminality has been driven by organized crime groups in the region, which operate in a remarkably open way. Their illicit activities are linked to various legal and illegal entertainment establishments, such as casinos, hotels, and registered companies (businesses), which operate from compound-like buildings where victims are harbored and forced to commit, or be complicit in, cyber-enabled crimes. This phenomenon of trafficking for forced criminality has recently become prominent in Southeast Asia, though it had already been identified in many parts of the world. The United Nations Office on Drugs and Crime (UNODC) 2022 Global Report on Trafficking in Persons1 has indicated a considerable increase in the identification of trafficking in persons for the purpose of committing criminal offences, currently reaching 10.2% of all reported trafficking cases globally. Trafficking for forced criminality (or for exploitation in criminal activities) can be understood as trafficking in persons for the purpose of exploitation of victims through forcing or otherwise compelling them to commit criminal acts for economic or other gains of traffickers or exploiters. While not included in the definition of the UN Protocol to Prevent, Suppress and Punish Trafficking in Persons (Trafficking in Persons Protocol) explicitly, exploitation in criminal activities has been incorporated into the trafficking definition of many countries around the world. In the Southeast Asia region, currently only Malaysia has incorporated this form of exploitation into domestic legislation. Nevertheless, the intent of traffickers, the methods.

United Nations Office on Drugs and Crime (UNODC), 2023. 50p.

By: Yasmin Afina and Sarah Grand-Clément

Data plays a critical role in the training, testing and use of artificial intelligence (AI), including in the military domain. Research and development for AI-enabled military solutions is proceeding at breakneck speed, and the important role data plays in shaping these technologies has implications and, at times, raises concerns. These issues are increasingly subject to scrutiny and range from difficulty in finding or creating training and testing data relevant to the military domain, to (harmful) biases in training data sets, as well as their susceptibility to cyberattacks and interference (for example, data poisoning). Yet pathways and governance solutions to address these issues remain scarce and very much underexplored.

This paper aims to fill this gap by first providing a comprehensive overview on data issues surrounding the development, deployment and use of AI. It then explores data governance practices from civilian applications to identify lessons for military applications, as well as highlight any limitations to such an approach. The paper concludes with an overview of possible policy and governance approaches to data practices surrounding military AI to foster the responsible development, testing, deployment and use of AI in the military domain.

CIGI Papers No. 308 — October 2024

By: US Election Assistance Commission

The security of voting systems is essential to a trustworthy election. Every state and local jurisdiction utilizes common-sense procedures and tools to safeguard the voting process. Common best practices include using locks, tamper-evident seals, security cameras, system testing before and after elections, audits, and physical and cybersecurity access controls. This guide outlines some of the many best practices local election officials follow to secure voting systems through an election cycle. It's important to note this is a broad list of common security measures and procedures to protect the integrity of an election. The types of security measures may vary based on the voting systems in use in state and local jurisdictions.

United States. Election Assistance Commission, Oct 2024

By Jonathan Lusthaus

Human Element in Cybercrime: The book emphasizes the human aspect of cybercrime, using the story of Roman Seleznev to illustrate how cyber criminals operate within specific social settings.

Industrialization of Cybercrime: Cybercrime has evolved from individual hackers to a sophisticated, profit-driven industry with specialized roles and professionalization.

Trust and Cooperation: Despite the anonymity and inherent distrust among cybercriminals, they have developed ways to cooperate and build trust, often through online forums and referrals.

Research and Methodology: The book is based on extensive field research over seven years, including 238 interviews, to provide a detailed overview of the cybercrime industry.

Harvard University Press, 2018, 289 pages