A semi-automated forensic investigation model for online social networks
A semi-automated forensic investigation model for online social networks
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DOI：
10.1016/j.cose.2020.101946
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发表时间：
2020-10-01
影响因子：
5.6
通讯作者：
Aminu, Abdulhai
中科院分区：
文献类型：
--
作者：
Arshad, Humaira;Omlara, Esther;Aminu, Abdulhai
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每一项法律的调查的一部分，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）是一个技术上复杂的过程，由于隐私和认证的法律的问题，该过程变得更具挑战性。由于社会网络的巨大规模和异质性，完全手动的调查方法对于OSN调查是不可行的。然而，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。本文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，明确解决了OSN调查的必要性。这项工作正在解决的问题，自动化的法医收集和分析过程中，定义犯罪现场的边界，并概述了合理的迭代收集程序在线社交网络法医调查。这项工作是使用案例研究进行评估，并与现有的做法和标准进行比较。(c)2020爱思唯尔有限公司保留所有权利。
Investigating the online social network profiles of victims, suspects, and witnesses are now part of al-most 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 net-works. 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 incor-porates 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. (c) 2020 Elsevier Ltd. All rights reserved.