Android设备上Twitter应用分析的取证方法

Priyanka V S, Satheesh Kumar S
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引用次数: 0

摘要

Twitter是每天有数百万用户使用的主要社交网络平台之一。每秒钟,大约有6000条推文通过Twitter发送。Twitter应用程序的法医分析对于犯罪调查人员来说至关重要,因为它可以包含丰富的证据人工制品。对Android设备的物理收购可以揭示存储在Twitter应用程序数据库中的取证人工制品,但只能是最近的推文和消息。本文介绍了一种使用Android设备中存在的访问令牌法医提取Twitter云数据的新方法。这些令牌使调查人员能够通过身份验证访问Twitter云服务器,并使用Twitter api进一步访问整个数据。响应数据以JavaScript Object Notation (JSON)格式编码,进一步分析该格式以识别每个tweet对象的属性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Forensic Methodology for the Analysis of Twitter Application in Android Devices
Twitter is one of the major social networking platforms used by millions of users every day. On every second, around 6000 tweets are sent through Twitter. The forensic analysis of Twitter application is of utmost importance to crime investigators as it can contain a rich set of evidential artefacts. The physical acquisition of Android devices can unveil the forensic artefacts stored in the Twitter application database, but only the most recent tweets and messages. This paper introduces a new methodology to forensically extract Twitter cloud data using the access tokens present in Android devices. The tokens enable investigators to get authenticated access to Twitter cloud servers and further access to the entire data using Twitter APIs. The response data is encoded in JavaScript Object Notation (JSON) format, which is further analyzed to identify the attributes of each tweet object.
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