Impact of AnonStalk (Anonymous Stalking) on users of Social Media: a Case Study
Impact of AnonStalk (Anonymous Stalking) on users of Social Media: a Case Study
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AnonStalk（匿名跟踪）对社交媒体用户的影响：案例研究
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
D. Bandekas
中科院分区：
文献类型：
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作者：
V. Kanakaris;K. Tzovelekis;D. Bandekas
在我们生活的这个时代，信息的交流是大量的，而随着越来越多的人使用社交网络，沟通方式也发生了巨大的变化。使用这种技术无疑会导致用户的个人信息暴露，从而使开源情报（OSINT）技术能够从未经授权的用户那里获得敏感数据。将媒体本身与用户如何使用它分开，我们考虑恶意用户（入侵者）如何以自动方法提取个人数据，并将其用于社交媒体的非可疑用户。通过这种方式，用户以及用户的追随者可以通过观看与真实的数据不同的数据而被欺骗，因为攻击者有机会修改它们。此外，暴露的用户失去了任何隐私感，因为他们成为受害者，渗透到他们的个人信息。本文描述了一种使用Twitter REST API和“geoJSON”沿着“Instagram实时API”和“Genymotion”从Twitter和Instagram匿名收集数据的方法的架构和实现。在收集和处理数据之后，输出以图形化的地图表示，可以轻松访问并向攻击者提供所有信息。在匿名性方面，我们遵循了恶意用户可以遵循的各种程序，以隐藏他的踪迹并在两个平台上创建可以在实现的应用程序中使用的帐户。结果表明，入侵者可以检索敏感的个人数据（通过智能手机上的tweets / instas获取用户位置）。此外，映射活动的能力可能允许恶意用户跟踪毫无戒心的人的活动并预测他们未来的位置。这项研究还表明，任何具有计算机基础知识的人都会成为我们个人生活的匿名入侵者，给那些没有庇护的人带来恐惧和恐惧。
In the period that we are living, there is a massive exchange of information, while the communication has drastically changed as more and more people using the social networks. Using this kind of technology undoubtedly leads to exposure of personal information on the part of users, enabling the use of Open-Source Intelligence (OSINT) techniques in order to obtained sensitive data from not authorised users. Separating the medium itself from how it is used by users, we consider how possible it is for a malicious user (intruder) to extract personal data in an automated method, and use them against an unsuspicious user of social media. By this way users can be deceived as well as the user’s followers by watching different data from the real one as the attacker has the chance to modify them. Moreover, the exposed users lose any sense of privacy as they become victims, penetrating to their personal information. The paper describes the architecture and implementation of a method that collects data anonymously from Twitter and Instagram using Twitter REST API and “geoJSON” along with “Instagram Real-Time API” and “Genymotion”. After the collection and the processing of data, the output is representing in a graphical map that can be easily accessible and provide all the information to the attacker. In terms of anonymity we followed various procedures that a malicious user could follow in order to hide his tracks and create accounts in both platforms that can be used in the implemented application. The results show that the intruder can retrieve sensitive personal data (user location via tweets / instas from smartphone). In addition, the ability to map the activity could allow a malicious user to track an unsuspecting person’s activity and predict their future locations. This research also revealed that anyone with basic knowledge of computer becomes anonymous intruder of our personal life, causing fear and horror to those that are unsheltered.