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Human trafficking is a complex and challenging global crime exacerbated by the use of technology. Traffickers utilize technology for scalability, anonymity, and profitability as the Internet, social media platforms and encrypted messaging make the recruitment, exploitation and profit of an individual a low-risk, high-reward enterprise. Counter-trafficking efforts are often siloed approaches, resulting in decentralized information and analysis on the size and scope of trafficking in persons. Resources and tools such as the human trafficking kill chain methodology and Artemis, a machine learning (ML) human trafficking risk classifier, show promising disruption tactics which may also be applied to other asymmetrical threats. Recommendations for centralized data collections methods, inter-agency collaboration, and cybersecurity adjacent legislation are also made.more » « less
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