Implementation of and to and in data security and privacy of the WhatsApp social media application

Authors

  • Tendri Harnovik Universitas Pembangunan Panca Budi
  • T.M.A Azis Alfarisy
  • Widia Hutapea
  • Supina Batubara

Keywords:

Machine Learning, NLP, Aplikasi Whatsapp, Automation

Abstract

This research explores the implementation of "End-to-End" technology in the context of data security and user privacy on the WhatsApp social media application. "End-to-End" plays a crucial role in maintaining the confidentiality of communications on these platforms, by analyzing the encryption mechanisms used and their impact on the security of user information. This research uses a WhatsApp case study to clarify the effectiveness of this technology in protecting users' personal data from external and internal threats.

References

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Published

2024-07-05

How to Cite

Harnovik, T., Alfarisy, T. A., Hutapea, W., & Batubara, S. (2024). Implementation of and to and in data security and privacy of the WhatsApp social media application. Journal of Information Technology, Computer Science and Electrical Engineering, 1(2), 97–99. Retrieved from https://ysmk.org/ejournal/index.php/jitcse/article/view/55