IEEE Access (Jan 2024)

Blockchain-Enabled Secure Data Collection Scheme for Fog-Based WBAN

  • Jegadeesan Subramani,
  • Maria Azees,
  • Arun Sekar Rajasekaran,
  • Amer Aljaedi,
  • Zaid Bassfar,
  • Sajjad Shaukat Jamal

DOI
https://doi.org/10.1109/ACCESS.2024.3351844
Journal volume & issue
Vol. 12
pp. 38287 – 38297

Abstract

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Wireless body area networks ( $WBAN$ ) are essential components of intelligent healthcare monitoring techniques. Especially, when the number and datatype in $WBAN$ increases. In $WBAN$ , secure multidimensional data aggregation received a lot of attention. However, the related schemes consume more computational and communication overhead to encrypt/decrypt the multidimensional health reports. In this paper, a blockchain-assisted scalable and secure multidimensional data aggregation scheme is introduced for fog-based $WBAN$ . The multidimensional health data are efficiently generated, encrypted, and decrypted by using the Paillier cryptosystem. Further, the batch verification method is used to achieve efficient authentication. The proposed system offers significant security attributes with less computation and communication overhead in comparison with competing systems. Further, it supports statistical analyses such as summation and variance to analyze the received health report.

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