Preserving Users’ Sensitive Data in Physical and Virtual World Using Machine Learning: A Strategy
Nasib Singh Gill, Preeti Gulia, Amit Sagu, Bharti Goyal · 2023
The impact of computing on society is intricate and far-reaching both physically and virtually. Computers have led to an increase in productivity since they have made a wide variety of operations simpler and more efficient. Specifically, Internet of Things has made maintaining infrastructure faster, cheaper, and greener. When it comes to the relevance of the virtual world, technology has completely altered the way we engage with one another. Communication has been streamlined and quickened thanks to the internet and social media platforms. But along with the rising use of technology, new societal challenges are being witnessed including security, freedom, and privacy. Preserving these values is crucial for users, and machine learning may play a key role in mitigating these risks and challenges. This paper attempts to provide a machine learning strategy for safeguarding users' personal and sensitive data against intrusion, fraud, malware, spam, and fake profile, etc. Furthermore, the paper also presents the fruitful and encouraging results of various experiments based on proposed machine learning strategies while utilizing two separate datasets.