Evidence Acquisition in Social Media for Cyber Crime

Varsha Pawar, Deepa V. Jose
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Abstract

Social Media forensics a branch of forensics involves in collecting the evidences for the cyber crime. Investigating social media is a complex process which involves the privacy issues for accessing the users, suspects and victims information on social media. Manual processing of social media data is not feasible as it contains large volumes of data. An automated process is needed to incident specification, evidence extraction and for provenance. The need for handling heterogeneity of data as users have accounts with multiple social websites is also explained. This study briefs the existing models and the challenges faced in analyzing with those models. The research goals in this field are also addressed. A pool of tools which can contribute in guarding the solution for cyber crime is also presented.
社交媒体对网络犯罪的证据获取
社交媒体取证是取证的一个分支,涉及收集网络犯罪的证据。调查社交媒体是一个复杂的过程,涉及到访问社交媒体上的用户、嫌疑人和受害者信息的隐私问题。手工处理社交媒体数据是不可行的,因为它包含大量的数据。需要一个自动化的过程来说明事件、提取证据和确定来源。还解释了用户在多个社交网站上拥有帐户时处理数据异构性的需要。本文简要介绍了现有的模型,以及使用这些模型进行分析所面临的挑战。并提出了该领域的研究目标。同时,本文还提出了一套能够有效防范网络犯罪的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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