Virtual vignettes: the acquisition, analysis, and presentation of social network data
Virtual vignettes: the acquisition, analysis, and presentation of social network data
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DOI：
10.1007/s11432-014-5069-9
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发表时间：
2014-02
期刊：
影响因子：
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通讯作者：
Chris Howden;Lu Liu;Zhiyuan Li;Jianxin Li;N. Antonopoulos
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文献类型：
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作者：
Chris Howden;Lu Liu;Zhiyuan Li;Jianxin Li;N. Antonopoulos
在线社交网络（OSN）非常流行，并且现在已经成为现代发达社会的普遍存在的重要部分。然而，在线社交网络给没有在线经验的数字取证调查人员带来了重大问题。数据将驻留在多个国家/地区的多个服务器上，跨越多个司法管辖区。在它被覆盖或删除之前捕获它是一个已知的问题，在其他基于云的服务中也有反映。在这篇文章中，已经开发了一种新的方法来提取，分析，可视化和比较快照的用户配置文件数据从在线社交网络Twitter。该研究遵循设计、实施、仿真和实验的过程。为便利数据提取而开发的工具的源代码已在互联网上公布。
Online social networks (OSNs) are immensely prevalent and have now become a ubiquitous and important part of the modern, developed society. However, online social networks pose significant problems to digital forensic investigators who have no experience online. Data will reside on multiples of servers in multiple countries, across multiple jurisdictions. Capturing it before it is overwritten or deleted is a known problem, mirrored in other cloud based services. In this article, a novel method has been developed for the extraction, analysis, visualization, and comparison of snapshotted user profile data from the online social network Twitter. The research follows a process of design, implementation, simulation, and experimentation. Source code of the tool that was developed to facilitate data extraction has been made available on the Internet.