A SURVEY ON PRIVACY-PRESERVING DATA AGGREGATION WITHOUT SECURE CHANNEL
Kshitija Nandgaonkar, Swarupa Kamble · 2016
The Privacy-preserving data aggregation problem becoming an important issue in the field of applied cryptography. Most research has been carried out to securely outsource individual's privately owned data to an untrusted aggregator, or to enable multiple parties to jointly aggregate their sensitive data while preserving privacy. However many research require secure pair-wise channel and it suffers from high complexity. This paper describes sum and product calculation protocol that enables an external aggregator or multiple parties to perform data aggregation over participants data while preserving the data privacy.