Paper Key : IRJ************236
Author: Aditya Manoj Kumar,Sagar Jayprakash Gupta
Date Published: 20 Nov 2024
Abstract
In the digital communication era, platforms like WhatsApp have become essential for personal and professional interactions, connecting over 2 billion users worldwide. Renowned for its end-to-end encryption (E2EE), WhatsApp offers robust security features but remains under scrutiny for its metadata collection and data-sharing policies, raising ethical and regulatory concerns. This paper examines WhatsApp's data privacy framework, focusing on encryption techniques, account security, privacy settings, and the use of AI-driven threat detection. Comparisons with competitors such as Signal and Telegram highlight the trade-offs between privacy, functionality, and business imperatives.The study also delves into user awareness of privacy controls and WhatsApp's collaborative efforts with security researchers and government agencies. Furthermore, it explores the integration of WhatsApp chatbots in business communication, showcasing advancements in natural language processing (NLP) and digital transformation.By analyzing existing research, conducting experiments with chatbots, and evaluating privacy regulations like GDPR and CCPA, this paper provides insights into WhatsApp's role in balancing user privacy and operational efficiency.
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