OSINT by Crowdsourcing : A Theoretical Model for Online Child Abuse Investigations
OSINT by Crowdsourcing : A Theoretical Model for Online Child Abuse Investigations
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众包开源情报：在线儿童虐待调查的理论模型
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Kemal Veli
中科院分区：
文献类型：
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作者：
Kemal Veli
由于各种原因，被扣押设备的积压达到了前所未有的水平，有时会导致审判过程拖延数年，即使是对在线虐待儿童的调查也是如此。除了虐待儿童的材料外，施虐者的数字财产可能包含一些虽小但重要的信息，如昵称、电子邮件和地名。彻底的数字检查和对这组信息的适当分析可能会揭示犯罪同伙或受害儿童的确切位置或真实身份。所有这些数字线索都应该通过开放的来源进行适当的调查，以确定可能所有者的真实身份，并发现他们与嫌疑人的关系是否与犯罪有关。考虑到每一次单独调查的所有查获材料中都存在数千条这样的数字痕迹，彻底审查与刑事案件有关的每一条信息对执法机构来说是一个极具挑战性的问题。虽然执法机构的资源明显不足，但仅靠自动化方法不足以完全满足当前的需要。在这方面，本文提出了一种新的非正统的方法，通过利用精心挑选的志愿者群体的能量，更有效地处理在线虐待儿童调查人员日益增长的工作量。在简要回顾了开源情报(OSINT)和众包等相关主题的技术、法律和组织方面的文献后，将详细阐述所提出的理论模型。将查明并彻底讨论与成功实施该模式的相同各个方面有关的可能的关切和可能的瓶颈。________________________________________________________________________
For various reasons, the backlog of seized devices has increased to unparalleled levels, sometimes leading to years of delays in the trial process, even for online child abuse investigations. In addition to child abuse materials, the digital belongings of an abuser might contain small yet important pieces of information, such as nicknames, e-mails and place names. A thorough digital examination and an appropriate analysis of this set of information might reveal the exact locations or the real identities of criminal associates or victimized children. All these digital clues should be investigated properly through open sources, to identify the real identities of possible owners and discover whether their relationships with the suspect are crime-related. Considering the fact that thousands of such digital traces are present in all seized material for each separate investigation, a thorough examination of every piece of information related to a criminal case becomes a tremendously challenging issue for law enforcement agencies (LEAs). While the resources of LEAs are clearly insufficient, automated methods alone are not adequate to respond fully to current needs. In this regard, this article proposes a new and unorthodox way of handling the ever-growing workload of online child abuse investigators more effectively, by tapping into the energy of a carefully selected crowd of volunteers. After a brief literature review on related subjects, such as open source intelligence (OSINT) and crowdsourcing, in terms of their technical, legal and organizational aspects, the proposed theoretical model will be elaborated. Likely concerns and probable bottlenecks relating to the same respective aspects regarding successful actualization of the model will be identified and thoroughly discussed. ________________________________________________________________________