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Data Privacy is a more prominent necessity than ever in the world we live. The world is so much connected with use of technology than ever in the course of history. Intelligent Machines and technology with thinking power of its own is defining new standards of business operations. Increasing dependency of new generation of people on social technology platforms and digital economy, comes with a big demand from economic and social structure to not only adopt but embed technology. In the same way technology to adopt the social practices like a central governance, democratic values and privacy interlaced with this structure. This paper presents the argument that the protection of privacy of the data subjects is a must have in order to retain the current social structure. We must have a way of using information out of the vast datasets without impacting individuals, indicating a major shift in technology development processes in practice.  The new social necessity drives the new technology necessity.

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Privacy becomes the most important topic as user’s data gets more and more widely used and exchanged across internet. Edge devices are replacing traditional monitoring and maintenance strategy for daily used items in households as well as industrial establishments. The usage of technology is getting more and more pervasive. 6G further increases the importance of edge devices in a network as network speeds increase, making the edge device much more powerful element in the network. Edge devices would have massive store and exchange of personal data of the individual. Data privacy forms the primary requirement for accessing data of individuals. Paper presents a novel concept on combination of techniques including cryptography, randomization, pseudonymization and others to achieve anonymization. It investigates in detail how the privacy relevant data of individuals can be protected as well as made relevant for research. It arrives at an interesting and unique approach for privacy preservation on edge devices opening up new business opportunities and make the data subject in charge of their data.

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