Research Article
BA-Audit: Blockchain-Based Public Auditing for Aggregated Data Sharing in Edge-Assisted IoT
@INPROCEEDINGS{10.1007/978-3-030-96791-8_15, author={Mingxi Liu and Ning Lu and Jingli Yin and Qingfeng Cheng and Wenbo Shi}, title={BA-Audit: Blockchain-Based Public Auditing for Aggregated Data Sharing in Edge-Assisted IoT}, proceedings={Security and Privacy in New Computing Environments. 4th EAI International Conference, SPNCE 2021, Virtual Event, December 10-11, 2021, Proceedings}, proceedings_a={SPNCE}, year={2022}, month={3}, keywords={Data auditing Blockchain Data aggregation Edge-assisted IoT}, doi={10.1007/978-3-030-96791-8_15} }- Mingxi Liu
Ning Lu
Jingli Yin
Qingfeng Cheng
Wenbo Shi
Year: 2022
BA-Audit: Blockchain-Based Public Auditing for Aggregated Data Sharing in Edge-Assisted IoT
SPNCE
Springer
DOI: 10.1007/978-3-030-96791-8_15
Abstract
With the massive placement of sensors leading to a surge in IoT data, it is wise for system administrators to use data aggregation strategies to collect and share data in edge-assisted IoT scenarios because traditional methods will exhaust bandwidth resources. Users need to verify the integrity of aggregated data to ensure security sharing. However, existing data auditing technologies are disabled because aggregate data has no metadata. This paper proposes a blockchain-based auditing scheme for aggregated data to achieve efficient and secure data sharing. First, we design a hash index balanced tree (HIBT) to reduce the computational expense of signature retrieval. Then, we propose an audit protocol to protect aggregated data immutability. Also, we provide security and performance analysis at the end of the paper.
