A secure data sharing scheme in Community Segmented Vehicular Social Networks for 6G

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

4 Scopus Citations
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Author(s)

  • Sunder Ali Khowaja
  • Parus Khuwaja
  • Kapal Dev
  • Ik Hyun Lee
  • Waliullah Khan
  • Nawab Muhammad Faseeh Qureshi
  • Maurizio Magarini

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)890-899
Journal / PublicationIEEE Transactions on Industrial Informatics
Volume19
Issue number1
Online published6 Jul 2022
Publication statusPublished - Jan 2023

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 paper 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.

Research Area(s)

  • 5G, Base stations, Blockchain, Blockchains, Community Segmentation, Data privacy, Distributed ledger, Fabrics, Internet of Things, Secure Data Sharing, Security, Social networking (online), vehicular social networks (VSNs)

Citation Format(s)

A secure data sharing scheme in Community Segmented Vehicular Social Networks for 6G. / Khowaja, Sunder Ali; Khuwaja, Parus; Dev, Kapal et al.

In: IEEE Transactions on Industrial Informatics, Vol. 19, No. 1, 01.2023, p. 890-899.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review