MDA-SMuSha: An Efficient and Flexible Multi-Dimensional Data Aggregation Scheme for Privacy-Preservation in Smart Grids

Smart meters in electrical grids collect detailed energy usage data that can reveal private information about users, but protecting this data while combining readings from multiple meters requires heavy computation that strains devices with limited resources. Researchers developed MDA-SMuSha, a scheme that uses Shamir's multi-secret sharing (a cryptographic method that splits secrets among multiple parties) and Paillier encryption (a technique allowing calculations on encrypted data without decrypting it) to let smart meters efficiently protect and aggregate their multi-dimensional energy data while still allowing a control center to request statistics flexibly. Testing shows this approach uses less computation than existing privacy-protection methods while maintaining security, authenticity, data integrity, and fault-tolerance (the ability to continue working even if some components fail).