6533b7defe1ef96bd127658f

RESEARCH PRODUCT

Elliptic Curve-Based Secure Multidimensional Aggregation for Smart Grid Communications

Omar Rafik Merad BoudiaSidi-mohammed SenouciMohammed Feham

subject

Scheme (programming language)geographyTheoretical computer sciencegeography.geographical_feature_categoryComputer sciencebusiness.industryDistributed computingNode (networking)020208 electrical & electronic engineeringHomomorphic encryption020206 networking & telecommunications02 engineering and technologyEncryptionResidential areaSmart grid0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringElliptic curve cryptographybusinessInstrumentationcomputercomputer.programming_language

description

In smart grid, data aggregation is considered as an essential paradigm in assessing information about current energy usage. To achieve the privacy-preserving goal, several homomorphic-based solutions have been proposed. However, these solutions either consider one-dimensional information or use costly pairing computation in order to ensure source authentication. In fact, smart grid data are likely to be multidimensional (e.g., time, purpose, and so on) for more accurate control. In addition, the aggregation node in smart grid needs to verify data that come from several smart meters in a residential area; hence, the verification must be cost-efficient. In this paper, we propose a scheme that considers multidimensional aggregation with privacy preserving and an efficient verification of smart grid data. The proposal is based on elliptic curve cryptography along with homomorphic encryption and without pairings. The performance analysis shows the efficiency of the scheme for smart grid communications in comparison with existing schemes. For instance, we show that, when an aggregator node is responsible of 600 smart meters, it spends approximately 14 s to verify the data in pairing-based schemes, while only 0.3 s is needed for verification within the proposed scheme.

https://doi.org/10.1109/jsen.2017.2720458