潜入地下世界：暗网兴起的调查
Plunge into the Underworld: A Survey on Emergence of Darknet
摘要：
在网络空间进行犯罪活动的尖端技术和方法的可得性是一个相关的社会问题。暗网是一种加密的网络技术，使用互联网基础设施，只能使用特殊的网络配置和软件工具访问其内容，这些内容不被搜索引擎索引。多年来，暗网传统上被用于犯罪活动，并因促进网络犯罪、非法毒品交易、武器交易和加密货币市场而广受赞誉。在专制政权的国家，对数字通信的审查和严格的政策促使记者和自由战士匿名使用暗网技术寻求自由，而其他人则只是利用它进行非法活动。最近，麻省理工学院的林肯人工智能实验室增强了一个工具，可以用来揭露暗网背后的非法活动。我们研究了相关的文献综述，以帮助研究人员更好地了解暗网技术，确定暗网未来的研究领域，并最终优化如何利用数据驱动的见解来支持政府机构揭开暗网技术的深度。本文重点介绍了利用互联网进行犯罪，TOR服务的去匿名化，暗网非法毒品的新数字街道，研究问题和假设，以指导研究人员进一步研究。最后，在这项研究中，我们提出了一个模型来检查和调查匿名在线非法市场。
英文摘要：
The availability of sophisticated technologies and methods of perpetrating criminogenic activities in the cyberspace is a pertinent societal problem. Darknet is an encrypted network technology that uses the internet infrastructure and can only be accessed using special network configuration and software tools to access its contents which are not indexed by search engines. Over the years darknets traditionally are used for criminogenic activities and famously acclaimed to promote cybercrime, procurements of illegal drugs, arms deals, and cryptocurrency markets. In countries with oppressive regimes, censorship of digital communications, and strict policies prompted journalists and freedom fighters to seek freedom using darknet technologies anonymously while others simply exploit it for illegal activities. Recently, MIT's Lincoln Laboratory of Artificial Intelligence augmented a tool that can be used to expose illegal activities behind the darknet. We studied relevant literature reviews to help researchers to better understand the darknet technologies, identify future areas of research on the darknet and ultimately to optimize how data-driven insights can be utilized to support governmental agencies in unraveling the depths of darknet technologies. This paper focuses on the use of the internet for crimes, deanonymization of TOR-services, darknet a new digital street for illicit drugs, research questions and hypothesis to guide researchers in further studies. Finally, in this study, we propose a model to examine and investigate anonymous online illicit markets.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
