OSINT on the Dark Web: Child Abuse Material Investigations

J. Rajamäki
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引用次数: 1

Abstract

The Dark Web allows users to hide their identity while browsing or sending information, providing an ideal environment for transferring information, goods, and services with potentially illegal intentions. Therefore, Law Enforcement Agencies (LEAs) are interested in Open Source INTelligence (OSINT) on the Dark Web. LEAs need appropriate techniques to find darknet sites used by criminals. This article examines online child sexual exploitation and the various OSINT automation tools that can be exploited on the Dark Web. Additionally, we consider OSINT on the Dark Web, paying attention to the challenges LEAs face when investigating crimes related to child abuse material (CAM). The biggest challenges are related to data storage and the criminal investigation itself. CAM may not be recorded or examined except by an LEA officer specifically designated and trained for this purpose. The study examines how OSINT could be implemented without exposing researchers to the contents of CAM. The method could be to focus the inquiry on already known links and sites. This has challenges, but a bigger number of LEAs could carry out such an inquiry, and the storage of such data would not be illegal.
暗网上的OSINT:儿童虐待材料调查
暗网允许用户在浏览或发送信息时隐藏自己的身份,为传输具有潜在非法意图的信息、商品和服务提供了理想的环境。因此,执法机构(LEAs)对暗网上的开源情报(OSINT)很感兴趣。LEAs需要适当的技术来查找犯罪分子使用的暗网站点。本文探讨了在线儿童性剥削和各种可以在暗网上利用的OSINT自动化工具。此外,我们考虑暗网上的OSINT,关注LEAs在调查与儿童虐待材料(CAM)有关的犯罪时面临的挑战。最大的挑战是数据存储和刑事调查本身。CAM不得记录或检查,除非由专门为此目的指定和培训的LEA官员进行记录或检查。该研究探讨了如何在不让研究人员接触CAM内容的情况下实施OSINT。方法可以是将查询集中在已知的链接和站点上。这是有挑战的,但更多的LEAs可以进行这样的调查,并且存储这样的数据不会是非法的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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