Fault-Tolerant Multisubset Aggregation Scheme for Smart Grid
Xiaodi Wang, Yining Liu, Kim‐Kwang Raymond Choo
Abstract
As smart cities and nations are fast becoming a reality, so does the underpinning infrastructure, such as smart grids. One particular challenge associated with smart grid implementation is the need to ensure privacy preserving multisubset data aggregation. Existing approaches generally require the collaboration of a trusted third party (TTP), which may not be practical. This also increases the threat exposure, as the attacker can now target the TTP who may be servicing several smart grid operators. Therefore, in this article, a fault-tolerant multisubset data aggregation scheme is proposed. Our scheme aggregates the total electricity consumption value, and obtains the number of users and the total electricity consumption in different numerical intervals, without relying on any TTP. Detailed system analysis shows that our scheme prevents the leakage of single data, as well as guarantees the efficiency when new user joins and existing user leaves. Findings from our evaluation also demonstrate that system robustness is achieved with negligible cost.