A Secure Data Sharing Scheme in Community Segmented Vehicular Social Networks for 6G

【Author】 Khowaja, Sunder Ali; Khuwaja, Parus; Dev, Kapal; Lee, Ik Hyun; Khan, Wali Ullah; Wang, Weizheng; Qureshi, Nawab Muhammad Faseeh; Magarini, Maurizio

【Source】IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS

【影响因子】11.648

【Abstract】The use of aerial base stations, AI cloud, and satellite storage can help manage location, traffic, and specific application-based services for vehicular social networks. However, sharing of such data makes the vehicular network vulnerable to data and privacy leakage. In this regard, this article proposes an efficient and secure data sharing scheme using community segmentation and a blockchain-based framework for vehicular social networks. The proposed work considers similarity matrices that employ the dynamics of structural similarity, modularity matrix, and data compatibility. These similarity matrices are then passed through stacked autoencoders that are trained to extract encoded embedding. A density-based clustering approach is then employed to find the community segments from the information distances between the encoded embeddings. A blockchain network based on the Hyperledger Fabric platform is also adopted to ensure data sharing security. Extensive experiments have been carried out to evaluate the proposed data-sharing framework in terms of the sum of squared error, sharing degree, time cost, computational complexity, throughput, and CPU utilization for proving its efficacy and applicability. The results show that the CSB framework achieves a higher degree of SD, lower computational complexity, and higher throughput.

【Keywords】Blockchains; Security; Data privacy; Social networking (online); Fabrics; Base stations; Distributed ledger; 5G; blockchain; community segmentation; Internet of Things; secure data sharing; vehicular social networks (VSNs)

【发表时间】2023 JAN

【收录时间】2022-11-30

【文献类型】实证数据

【主题类别】

区块链应用-实体经济-交通领域