社交媒体用户关系框架(SMURF)

IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
A. David, Sarah Morris, G. Appleby-Thomas
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引用次数: 0

摘要

社交媒体的使用已经蔓延到社会的许多方面,使数以百万计的个人、企业和政府实体能够利用它提供的机会。这些机会往往最终被一小部分用户社区利用,用于令人反感或非法的活动;比如,网络挑衅,网络欺凌,打扮,引诱。在某些情况下,这些非法活动导致调查,需要迅速检索关键证据以挽救生命。本文提出了一个用于社交媒体用户归因的概念验证框架。该框架旨在提供数字证据,可用于证实现场分诊调查中的用户活动。本文强调了使用现场分类作为一种可行的技术来调查社交媒体活动,将用户活动语境化并将行为归因于用户。它讨论了除了通信内容之外的人工制品的可靠性,作为对用户社交媒体活动进行推断的一种手段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Social Media User Relationship Framework (SMURF)
The use of social media has spread through many aspects of society, allowing millions of individuals, corporate as well as government entities to leverage the opportunities it affords. These opportunities often end up being exploited by a small percentage of the user community who use it for objectionable or unlawful activities; for example, trolling, cyber bullying, grooming, luring. In some cases, these unlawful activities result in investigations where the swift retrieval of critical evidence is required in order to save a life. This paper presents a proof of concept (PoC) framework for social media user attribution. The framework aims to provide digital evidence that can be used to substantiate user activity in live triage investigations. This paper highlights the use of live triage as a viable technique for the investigation of social media activity, contextualizing user activity and attributing actions to users. It discusses the reliability of artefacts other than the communication content as a means of drawing inferences about user social media activity, taking into account.
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来源期刊
Journal of Digital Forensics Security and Law
Journal of Digital Forensics Security and Law COMPUTER SCIENCE, INFORMATION SYSTEMS-
自引率
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5
审稿时长
10 weeks
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