A Location-Aware Verifiable Outsourcing Data Aggregation in Multiblockchains

【Author】 Zhang, Junwei; Wang, Yuqing; Ma, Zhuo; Yang, Xiaohan; Ying, Zuobin; Ma, Jianfeng

【Source】IEEE INTERNET OF THINGS JOURNAL

【影响因子】10.238

【Abstract】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

【发表时间】2023 15-Mar

【收录时间】2023-05-28

【文献类型】理论模型

【主题类别】

区块链应用-实体经济-车联网