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A Location-Aware Verifiable Outsourcing Data Aggregation in Multiblockchains
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DOI：10.1109/JIOT.2022.3221555.png)
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Abstract
En 中文
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.
Keywords:
Data aggregation
Blockchains
Outsourcing
Data privacy
Security
Homomorphic encryption
Public key
Internet of Vehicles (IoV)
location-aware
location privacy
multiblockchains
verifiable aggregation
Journal
IF:
8.9
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1.4W
Citations:
7.8W