Abstract
Twitter is a popular online social media network platform that has millions of users worldwide. Twitter activities have grown in popularity among different age groups. Various Twitter activities such as instant chats, wall comments and following others could create a number of footprints in different locations of the device. The footprints may be misused, which would compromise privacy and security of the users. In order to protect their personal data, it is important that the users to take every precautions when using the social media. The question is what measures are available for the users to take. In this research, through memory forensics we assess Twitter user’s privacy and security when is accessed via web browser on Windows 10 machine. We carry out a set of memory forensics analysis experiments in different modes. In each mode, we evaluate the retrieved forensics artifacts. Based on the results of our experiment, we recommend the best approach for the users.
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Ghafarian, A., Fiallo, D. (2021). An Analysis of Twitter Security and Privacy Using Memory Forensics. In: Arai, K. (eds) Intelligent Computing. Lecture Notes in Networks and Systems, vol 285. Springer, Cham. https://doi.org/10.1007/978-3-030-80129-8_51
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DOI: https://doi.org/10.1007/978-3-030-80129-8_51
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