Cloud Forensic Artefacts: Digital Forensics Registry Artefacts discovered from Cloud Storage Application

Shailendra Mishra, Mohammed A. Bajahzar
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Abstract

: Cloud storage drives have become very popular around the world these days. In the traditional approach to computer forensics, the focus is on physically accessing the disks that contain the information that could contribute to the factors. Due to the data breaches that can occur through cloud-based applications, the research proposed in this paper focuses on collecting evidence from Windows 11 operating systems to discover and collect leftover registry artefacts from one of the major cloud storage applications, OneDrive. This research study examined Windows 11 artefacts and found distinct artefacts when the OneDrive program was deleted from the virtual machine and unlinked to an account. The results and lingering artefacts assist in determining the file path for each uploaded file in OneDrive as well as the email address that was linked to it. To assist digital forensic investigators in making an expedient determination regarding the use of cloud storage applications, a bash script was developed and appended to the document. Its purpose is to assemble the identified and discovered artefacts that were obtained throughout the practical simulations. Identifying the accounts and the chronology that were using OneDrive, may also be utilized as a lead to identify the attackers.
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云取证人工制品:从云存储应用程序中发现的数字取证注册文物
:如今,云存储驱动器在世界各地都非常流行。在传统的计算机取证方法中,重点是物理访问包含可能导致因素的信息的磁盘。由于基于云的应用程序可能会发生数据泄露,本文提出的研究侧重于从 Windows 11 操作系统中收集证据,以发现和收集主要云存储应用程序之一 OneDrive 中遗留的注册表人工制品。本研究对 Windows 11 的人工制品进行了检查,发现当 OneDrive 程序从虚拟机中删除并与账户解除链接时,会出现明显的人工制品。这些结果和残留的人工制品有助于确定 OneDrive 中每个上传文件的文件路径以及与之链接的电子邮件地址。为了帮助数字取证调查人员快速确定云存储应用程序的使用情况,我们开发了一个 bash 脚本并将其附在文件中。该脚本的目的是汇总在实际模拟过程中获得的已识别和已发现的人工制品。识别使用 OneDrive 的账户和时间顺序也可作为识别攻击者的线索。
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来源期刊
International Journal of Computing and Digital Systems
International Journal of Computing and Digital Systems Business, Management and Accounting-Management of Technology and Innovation
CiteScore
1.70
自引率
0.00%
发文量
111
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