Smart Grid Privacy via Bihomomorphic Encryption Aggregation
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Solution Overview
Problem
Smart grids face privacy concerns as smart meters monitor and report energy consumption data, potentially revealing users' habits and lifestyles, necessitating a solution to protect end-user privacy while maintaining efficient energy monitoring and control.
Innovation Solution
Implementing a bihomomorphic encryption scheme that partitions smart meters into groups, with each group using a key aggregator to encrypt and aggregate data, ensuring that only aggregated values are decrypted by the central entity, preserving individual privacy while allowing for accurate energy usage monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If smart meters monitor and report energy consumption data instantaneously, then energy monitoring and control capability is improved, but user privacy is compromised as individual consumption patterns become visible
Solution Approach 1:
The patent divides smart meters into groups and introduces key aggregators to segment the data aggregation process. Instead of the central entity receiving and processing individual meter data directly, the system segments functionality by having key aggregators collect and aggregate keys from individual meters, then transmit aggregated data to the central entity. This segmentation preserves privacy while maintaining monitoring capability.
Solution Approach 2:
The patent introduces key aggregators as intermediary entities between smart meters and the central entity. These key aggregators perform the function of collecting keys from individual meters, computing aggregated keys, and transmitting them to the central entity. This intermediary layer prevents direct exposure of individual consumption data to the central entity while still enabling effective energy monitoring.
2Measurement precision
If individual smart meter data is transmitted to the central entity, then energy usage monitoring is accurate, but data security and privacy protection are worsened
Solution Approach 1:
The patent applies preliminary action by having smart meters encrypt their measurement data before transmission to the central entity. The encryption process is performed in advance at the smart meter level, so that data is already protected when it reaches the central entity. This preliminary encryption ensures both measurement accuracy and data security.
Solution Approach 2:
The patent changes the parameter of data state from plaintext to encrypted form. By transforming the data parameter from unencrypted to encrypted state before transmission, the system maintains measurement accuracy while significantly improving data security. The encrypted data can still be processed and aggregated by the central entity without compromising privacy.
3Object-affected harmful factors
If a key aggregator is introduced to aggregate keys from all smart meters, then privacy protection is improved, but system complexity increases
Solution Approach 1:
The patent applies universality by designing key aggregators that perform multiple functions: collecting keys from individual smart meters, computing aggregated keys, and transmitting aggregated data to the central entity. This multi-functionality reduces the need for separate dedicated components, thereby limiting the increase in system complexity while achieving comprehensive privacy protection.
Data Source
AI summary
Method for operating a smart grid including a plurality of smart meters configured to monitor at least one physical measured quantity and to provide measurement results of the at least one physical measured quantity to a central entity, includes the following steps:partitioning the smart grid into groups of smart meters, such that each of the smart meters belongs to exactly one group,all smart meters of one of the groups encrypt their measured value by applying a bihomomorphic encryption scheme and send it to the central entity,one smart meter per group is designated as key aggregator to which all smart meters of that group send their key employed for the encryption,the key aggregator computes the aggregation of all received keys and sends the aggregated key to the central entity,the central entity aggregates all received encrypted measured values and decrypts the aggregation by employing the aggregated key.