PADA: Privacy-Aware Data Aggregation with Efficient Communication for Power Injection in 5G Smart Grid Slice

Abstract

Aiming to tackle the security and privacy issues of smart grid, we propose a privacy-aware data aggregation (PADA) scheme with efficient communication suitable for power injection in 5G smart grid slice. In PADA, each power storage unit calculates two secret keys to be shared by the utility company and the gateway to blind power injection bids, then aggregates the blinded bids of different time slots by using a novel aggregation technique called hash-then-homomorphic. The local gateway partially removes the blind factor from the received data by computing the corresponding shared secret key, then further aggregates the masked bids before sending them to the company. The company computes the total amount of collected power at each time slot by removing a blind factor from the aggregated bid and performing a decryption. User privacy is preserved in PADA because adversaries cannot know individual bids. Besides, extensive evaluations indicate that PADA is secure and efficient.