I am doing research on IoT devices. How we can give personalized and accurate results to the user but without disclosing his personal data. Can someone help me to know which algorithm can be used to mask the data and still give better-personalized content through IoT
I am not sure exactly about your objective. However, you may use "coding techniques" (similar to the one that is done by deep learning technique) to transform data to new representation with keeping the most useful information.
Your question might be rephrased on architecture instead of algorithm.
I would then recommend Edge computing as the most appropriate approach.
The processing should happen where the data is generated, as much as possible. Data should stay at the Edge and algorithms travel instead, to visit the data, as a family doctor would visit patients in the old days.
Does it help you?
First of all you have to encrypt the user's data as and when you receive using any of the well known cryptographic technique. This will never disclose the user's data. and then based on your objective, you can choose any of the algorithm along side the IoT board.
Hope this will help you regarding your data concern.
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https://books.google.com/books?id=u8jYDwAAQBAJ&pg=PA106&lpg=PA106&dq=Which+algorithm+is+best+to+be+used+for+personalized+result+in+IOT?&source=bl&ots=0uBDjFlQ3P&sig=ACfU3U3mtmIrtABScfRm68gFkJiyNLyeBw&hl=en&sa=X&ved=2ahUKEwjoocuhw-zoAhU7VxUIHcssB0AQ6AEwAXoECAcQJg
You need to read some papers related to your objective.
Please check
Article Advanced algorithms and applications based on IoT for the sm...
Article An overview of recommender systems in the internet of things
You may think about anonymization techniques to hide the details of users. A lot of research has already done with these techniques.
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