A Location-Aware Verifiable Outsourcing Data Aggregation in Multiblockchains

With the rapid development of the Internet of Vehicles (IoV), location-aware outsourcing data aggregation is evolving into a fundamentally key role for analyzing a significant amount of data among smart devices. Due to the spatial property of the data in IoV, location privacy and data security in outsourcing data aggregation face critical challenges. Meanwhile, because of the diversity of entities in IoV, how aggregating data from multiple domains is also a serious issue. In this article, we propose a location-aware verifiable outsourcing data aggregation (LAVODA) for IoV where aggregators are hierarchical for the cross-chain mechanism in multiblockchains. With homomorphic encryption and homomorphic commitment, we achieve the verifiability of the aggregation while ensuring data confidentiality. Specifically, we combine twin-DH with circle-based location verification to ensure the privacy of the requester's location strategy and data providers' locations. The security analysis shows that our scheme can achieve the above secure properties. In addition, the experimental results demonstrate that our scheme is efficient and feasible in practice.

Automated summary

With the rapid development of the Internet of Vehicles (IoV), location-aware outsourcing data aggregation plays a critical role in analyzing a large amount of data among smart devices. However, location privacy and data security face challenges in IoV due to the spatial property of data. In this article, we propose a location-aware verifiable outsourcing data aggregation (LAVODA) scheme for IoV, providing verifiability and data confidentiality using homomorphic encryption and commitment.