Connecting online criminal behavior with machine learning: Using authorship attribution to analyze and link potential online traffickers

利用机器学习关联网络犯罪行为：使用作者归属分析来识别并关联潜在的网络人口贩运者

Abstract: This research investigated how online criminal activities can be better understood and connected using data-driven machine learning methods. Many illegal activities, such as human trafficking and illicit trade, have moved to online platforms where offenders hide behind anonymous accounts and frequently change identities. This makes it difficult for authorities to understand how large these networks are and how different online profiles may be linked. 摘要： 本研究探讨了如何利用数据驱动的机器学习方法，更好地理解并关联网络犯罪活动。许多非法活动（如人口贩运和非法贸易）已转移至网络平台，犯罪分子通过匿名账户隐藏身份并频繁更换马甲。这使得执法部门难以掌握这些犯罪网络的规模，也难以厘清不同在线档案之间的关联。

The research shows that people tend to maintain consistent patterns in how they write advertisements and present images online, even when they try to stay anonymous. By analysing these patterns across large collections of online advertisements, the research demonstrates how to link related accounts and identify repeated behaviour across illegal online markets. 研究表明，即使犯罪分子试图保持匿名，他们在撰写广告和展示图片时往往仍会表现出一致的模式。通过分析海量在线广告中的这些模式，本研究展示了如何关联相关账户，并识别非法在线市场中的重复行为。

In addition, the research also addresses how such methods should be used responsibly. It proposes clear guidelines to ensure that privacy, fairness, and transparency are respected when these tools are applied. Overall, the research provides practical ways to support law enforcement investigations while emphasising careful and ethical use. 此外，该研究还探讨了应如何负责任地使用此类方法。研究提出了明确的指导方针，以确保在应用这些工具时能够尊重隐私、公平性和透明度。总体而言，本研究在强调审慎与合乎道德使用的前提下，为支持执法调查提供了切实可行的方法。

Paper Details:

Authors: Vageesh Kumar Saxena
Submitted: 14 Apr 2026
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Computers and Society (cs.CY); Machine Learning (cs.LG); Social and Information Networks (cs.SI)

论文详情：

作者： Vageesh Kumar Saxena
提交日期： 2026年4月14日
学科分类： 计算与语言 (cs.CL)；人工智能 (cs.AI)；计算机视觉与模式识别 (cs.CV)；计算机与社会 (cs.CY)；机器学习 (cs.LG)；社交与信息网络 (cs.SI)