Towards a Secure and Ethical Framework for Big Data Privacy in the Internet of Things (IoT) Landscape
Pritam Gupta
Department of Emerging Market Economics, Tribhuvan University, Nepal
Tripuresh Joshi
Keywords: Internet of Things, big data, data privacy, security, ethics, cryptographic algorithms, data anonymization
Abstract
The proliferation of Internet of Things (IoT) technologies across various sectors such as healthcare, transportation, and smart cities has exponentially increased the generation of big data, elevating concerns related to data privacy, security, and ethics. This research study aspires to address these critical challenges by conceptualizing and developing a comprehensive framework specifically designed for the secure and ethical management of big data in the IoT landscape. Adopting a multi-faceted methodology that combines an exhaustive literature review, theoretical modeling, cryptographic algorithms, data anonymization strategies, and ethical compliance measures, the study introduces an innovative framework. This framework is rigorously validated through empirical case studies involving real-world IoT deployments in healthcare and smart home environments. The evaluation demonstrates substantial improvements in data privacy and security while maintaining strict adherence to ethical guidelines. The findings have far-reaching implications for multiple stakeholders, including IoT device manufacturers, software developers, data scientists, and policymakers. The study thus underscores the urgent need for a balanced, robust approach to big data privacy and ethics in the complex, interconnected realm of IoT technologies.
Author Biographies
Pritam Gupta, Department of Emerging Market Economics, Tribhuvan University, Nepal
Tripuresh Joshi
