Research Article
A Novel Privacy-Preserving Selective Data Aggregation with Revocation for Fog-Assisted IoT
@INPROCEEDINGS{10.1007/978-3-030-89814-4_22, author={Jianhong Zhang and Luo Ran and Dequan Xu and Jing Wang and Pei Liu and Changgen Peng}, title={A Novel Privacy-Preserving Selective Data Aggregation with Revocation for Fog-Assisted IoT}, proceedings={Mobile Multimedia Communications. 14th EAI International Conference, Mobimedia 2021, Virtual Event, July 23-25, 2021, Proceedings}, proceedings_a={MOBIMEDIA}, year={2021}, month={11}, keywords={Fog computing Internet of Things Data privacy Data integrity Selective data aggregation}, doi={10.1007/978-3-030-89814-4_22} }- Jianhong Zhang
Luo Ran
Dequan Xu
Jing Wang
Pei Liu
Changgen Peng
Year: 2021
A Novel Privacy-Preserving Selective Data Aggregation with Revocation for Fog-Assisted IoT
MOBIMEDIA
Springer
DOI: 10.1007/978-3-030-89814-4_22
Abstract
Internet-of-Things (IoT) can provide more convenient and intelligent services for our daily life by IoT devices collecting data. Fog computing enables ubiquitous perception, seamless connectivity, and real-time processing for B5G cellular IoT applications by making use of the advantages which fog nodes are deployed on the edge of the network, closer to data sources. Collecting sensor data by combining fog computing and the Internet of Things can enhance the security and efficiency of the B5G network in a low-cost way, which is very important for building a stable B5G network. Most existing data aggregation systems cannot support the aggregation of specific data types, which means that existing data aggregation systems have limitations in real-world applications. To solve these problems, in this work, we propose a novel privacy-preserving Selective Data Aggregation scheme with revocation for the fog-assisted IoT to address selective aggregation of privacy-preserving data and revocation of the applicationAppby using homomorphic encryption and searchable encryption technique. The proposed scheme achieves not only privacy protection of data content, but also indistinguishability of data types. In the meanwhile, it enables that applicationAppcan simultaneously extract different types of data. Finally, security analysis show that the proposed scheme can achieve the corresponding security goals.
