How Machine Learning Helps in Privacy and Protection
Keywords:
Artificial Intelligence, Dataset, Machine learning, Privacy, ProtectionAbstract
In today’s world, privacy and protection-related issues are becoming increasingly relevant day by day. It becomes a critical concern due to the rapid growth in the usage of social media platforms, internet usage, and smart usage of technology, along with its advancements. Individuals continuously share their personal data or information through online services. Individuals connect with one another with online networking platforms, due to which there is always a threat of data breaches, identity theft, unauthorized surveillance and phishing, etc. With the increasing use of Artificial Intelligence and Big Data Analytics, these issues are becoming more intense day by day, enabling the collection of large-scale datasets. This paper examines the causes of the increase of major privacy concerns like lack of awareness, excess data tracking and weak security mechanisms in digital systems. The study explores how machine learning techniques can be used to enhance data protection and ensure secure data processing. The paper concludes that achieving a balance between technological innovation and privacy protection is essential for building a secure and trustworthy digital environment in the future.
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