Abstract Investigating the online social network profiles of victims, suspects, and witnesses are now part of almost every legal investigation, either it involves a criminal offense, financial fraud, or domestic lawsuit. However, investigating online social networks (OSN) is a technically complicated process that becomes more challenging due to the legal issues of privacy and authentication. Completely manual investigative methods are not feasible for OSN investigations due to the immense size and heterogeneity of social networks. However, the existing models for digital forensic investigation are not supporting automated or semi-automated forensic investigation processes. Furthermore, they are not addressing the fundamental differences and specific requirements of online social networks. The model presented in this work incorporates the robust features of standard investigation models and proposes a digital forensic investigation process model that explicitly addresses the necessities of OSN investigations. This work is addressing the issues of automating the forensic collection and analysis processes, defining crime scene boundaries, and outlining reasonable iterative collection procedures in online social network forensic investigation. This work is evaluated using a case study and is compared with existing practices and standards.

中文翻译：

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一种在线社交网络的半自动取证调查模型

摘要 调查受害者、嫌疑人和证人的在线社交网络资料现在几乎是所有法律调查的一部分，无论是涉及刑事犯罪、金融欺诈还是国内诉讼。然而，调查在线社交网络 (OSN) 是一个技术复杂的过程，由于隐私和身份验证的法律问题，该过程变得更具挑战性。由于社交网络的巨大规模和异质性，完全手动调查方法对于 OSN 调查是不可行的。但是，现有的数字取证调查模型不支持自动或半自动取证调查过程。此外，它们没有解决在线社交网络的根本差异和具体要求。这项工作中提出的模型结合了标准调查模型的强大功能，并提出了一个数字取证调查过程模型，该模型明确解决了 OSN 调查的必要性。这项工作解决了自动化取证收集和分析过程、定义犯罪现场边界以及概述在线社交网络取证调查中合理的迭代收集程序等问题。这项工作使用案例研究进行评估，并与现有实践和标准进行比较。并概述在线社交网络取证调查中合理的迭代收集程序。这项工作使用案例研究进行评估，并与现有实践和标准进行比较。并概述在线社交网络取证调查中合理的迭代收集程序。这项工作使用案例研究进行评估，并与现有实践和标准进行比较。