Abstract
In a smart grid, a smart meter reports its real-time electricity consumption data to utility supplier periodically, the utility supplier adjusts its supplement accordingly. However, real-time electricity consumption data may reveal the inhabitants’ behaviors, thus smart grid data aggregation schemes are introduced to protect user's privacy, which enables the utility supplier to get the total consumption data rather than a single meter's electricity consumption data. However, existing solutions do not solve all the problems, some schemes are not scalable, once the system is deployed, it is unable to add new meters to the system, in some schemes, the electricity consumption data are encrypted using the utility supplier's public key, if the utility supplier accidentally obtains the encrypted data, it is able to decrypt the data. For these reasons, we designed a scalable elliptic-based multidimensional data aggregation scheme for the smart grid, an independent key is assigned to a meter, even if the utility supplier is unable to decrypt a single meter's encrypted electricity consumption data. Besides, the proposed scheme is scalable, it is easy to add or remove a meter from the system, and the proposed scheme enables a meter to report multiple types of data at a time.
Highlights
S MART meters for electricity and for gas have been largely deployed in Europe [1], [2], which brings two-way communication between smart meters and utility supplier
Some schemes only enable meters to report one type of data, data of smart grid are likely to be multidimensional, if the utility supplier wants to have an in-depth analysis of these data, he needs as much data as he can
Lu et al proposed a data aggregation scheme: EPPA [8], which is based on the homomorphic Paillier cryptosystem [9], a super-increasing sequence is used to enable a meter to report multiple types of data to the utility supplier
Summary
S MART meters for electricity and for gas have been largely deployed in Europe [1], [2], which brings two-way communication between smart meters and utility supplier. In some schemes, a trusted third party is introduced, which generates a series of keys for smart meters to encrypt their real-time electricity consumption data, the utility supplier cannot get a single smart meter’s consumption data. Some schemes only enable meters to report one type of data, data of smart grid are likely to be multidimensional (time, electricity consumption purpose, and so on), if the utility supplier wants to have an in-depth analysis of these data, he needs as much data as he can For these reasons, we come up with an elliptic curve-based scalable data aggregation scheme. CHEN ET AL.: ELLIPTIC CURVE-BASED SCALABLE DATA AGGREGATION SCHEME FOR SMART GRID computation cost and communication cost compared to related works
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