PPS: Privacy Preserving Statistics using RFID Tags.
Erik-Oliver Blaß, Kaoutar Elkhiyaoui, Refik Ahmet Molva · 2009
Abstract. As RFID applications are entering our daily life, many new security and privacy challenges arise. However, current research in RFID security focuses mainly on simple authentication and privacy-preserving identification. In this pa-per, we widen the scope of RFID security and privacy by introducing a new ap-plication scenario. The suggested application consists of computing statistics on private properties of individuals stored in RFID tags. The main idea is to compute global statistics while preserving the privacy of individual readings. PPS assures the privacy of properties stored in each tag through the combination of homomor-phic encryption and aggregation at the readers. Re-encryption is used to prevent tracking of users. The readers scan tags and forward the aggregate of their en-crypted readings to the back-end server. The back-end server then decrypts the aggregates it receives and updates the global statistics accordingly. Therewith, PPS is provably privacy-preserving. Moreover, tags can be very simple since they are not required to perform any kind of computation, but only to store data. 1