Sum aggregation in sensor networks while preserving confidentiality and integrity

Abstract

In some sensor network environments there is a need to protect the privacy of the individual readings as well as to ensure the integrity of the aggregated result. Many prior solutions have proposed schemes that protect either privacy or integrity, but very little work has been done on achieving both goals. In this paper, we extend a previously defined splitting scheme to provide privacy and integrity when computing the SUM aggregate. The scheme that we present achieves a usable level of privacy and integrity for the sum aggregation and does not require the usage of expensive cryptography. We also experimentally demonstrate the effectiveness of our techniques. © 2012 Springer-Verlag.