Data aggregation in distributed networks is a critical element in Internet of Things
applications ranging from smart grids and robot swarms to medical monitoring over multiple
devices and data centers. This paper addresses the problem of private weighted sum
aggregation, ie, how to ensure that an untrusted aggregator is able to compute only the
weighted sum of the users' private local data, with proprietary weights. We propose a
scheme that achieves the confidentiality of both the users' local data and the weights, as …