IEEE Access (Jan 2023)

A Secure Data Sharing System for 6G Networks

  • Shuang Gao,
  • Guangcheng Li,
  • Li Feng,
  • Yufeng Chen,
  • Yuqiang Chen

DOI
https://doi.org/10.1109/ACCESS.2023.3336399
Journal volume & issue
Vol. 11
pp. 133281 – 133293

Abstract

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The advent of 6G networks with their capabilities for massive communication and low latency presents opportunities for a more intelligent way of life. This paper proposes a secure, flexible, and decentralized data sharing approach, tailor-made for the complexities of 6G networks. Building upon a famous data sharing framework called Droplet, the proposed approach furnishes users with fine-grained access to time-series data, while maintaining low communication overhead and minimizing potential data leakage. We spotlight an underlying vulnerability within the Droplet scheme, prompting the development of an advanced scheme that amalgamates segmented dual-key regression technology and binary hash trees. Further, we devise an algorithm for a minimal key set to reduce communication overhead for data owners during the data sharing process, thereby enhancing the operational efficiency of our proposed scheme. Extensive simulations are executed to authenticate the successful realization of our design objectives through the proposed scheme. This research aims to address the pressing issues of data sharing in the context of 6G networks, providing insights and solutions for secure and flexible data management.grammatically correct.

Keywords