PRIDA: PRIvacy-preserving Data Aggregation with multiple data customers

ePrint Report: PRIDA: PRIvacy-preserving Data Aggregation with multiple data customers

Beyza Bozdemir, Betül Aşkın Özdemir, Melek Önen

We propose a solution for user privacy-oriented privacy-preserving data aggregation with multiple data customers. Most existing state-of-the-art approaches present too much importance on performance efficiency and seem to ignore privacy properties except for input privacy. Most solutions for data aggregation do not generally discuss the users’ birthright, namely their privacy for their own data control and anonymity when they search for something on …

aggregation art customers data efficiency eprint report input performance privacy report solution state user privacy