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Blockchain-Based Data Sharing System for AI-Powered Network Operations

  • Research paper
  • Published:
Journal of Communications and Information Networks

Abstract

The explosive development of mobile communications and networking has led to the creation of an extremely complex system, which is difficult to manage. Hence, we propose an AI-powered network framework that uses AI technologies to operate the network automatically. However, due to the separation between different mobile network operators, data barriers between diverse operators become bottlenecks to exploit the full power of AI. In this paper, we establish a mutual trust data sharing framework to break these data barriers. The framework is based on the distributed and temper-proof attributes of blockchain. We implement a prototype based on Hyperledger Fabric. The proposed system combines supervision and fine-grained data access control based on smart contracts, which provides a secure and trustless environment for data sharing. We further compare our system with existing data sharing schemes, and we find that our system provides a better functionality.

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Author information

Authors and Affiliations

  1. Tsinghua University, Beijing, 100084, China

    Guozhen Zhang, Yong Li & Depeng Jin

  2. The Hong Kong University of Science and Technology, Hong Kong, China

    Tong Li & Pan Hui

  3. University of Helsinki, Helsinki, Finland

    Pan Hui

Authors
  1. Guozhen Zhang
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  2. Tong Li
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  3. Yong Li
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  4. Pan Hui
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  5. Depeng Jin
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Corresponding author

Correspondence to Yong Li.

Additional information

The associate editor coordinating the review of this paper and approving it for publication was X. Cheng.

Guozhen Zhang is a senior student in the department of electronic engineering at Tsinghua University. His research interests include blockchain and data science.

Tong Li received his B.E. degree and M.E. degree in communications engineering from Hunan University, China, in 2014 and 2017. He is now a doctoral candidate of computer science and engineering at Hong Kong University of Science and Technology, China. His research interests include machine learning, data science, and AI networks.

Yong Li [corresponding author] received his B.S. degree in electronics and information engineering in 2007 from Huazhong University of Science and Technology, Wuhan, China, and his Ph.D. degree in electronic engineering from Tsinghua University, Beijing, China in 2012. He is currently a Faculty Member of the Department of Electronic Engineering, Tsinghua University. Dr. Li has served as General Chair, TPC Chair, and TPC Member for several international workshops and conferences, and he sits on the editorial board of two IEEE journals. His papers have more than 4 100 total citations. Among them, ten are ESI Highly Cited Papers in Computer Science, and four have received conference Best Paper (run-up) Awards. He participated in the IEEE 2016 ComSoc Asia-Pacific Outstanding Young Researchers and Young Talent Program of China Association for Science and Technology.

Pan Hui received his Ph.D. degree from Computer Laboratory, University of Cambridge, and earned his MPhil and BEng both from the Department of Electrical and Electronic Engineering, University of Hong Kong, China. He is currently a faculty member of the Department of Computer Science and Engineering at Hong Kong University of Science and Technology, where he directs the System and Media Lab. He also serves as a Distinguished Scientist of Telekom Innovation Laboratories (T-labs), Germany, and as an adjunct Professor of social computing and networking at Aalto University, Finland. Before returning to Hong Kong, China, he spent several years in T-labs and Intel Research Cambridge. He has published more than 100 research papers and has several granted and pending European patents. He founded and chaired several IEEE/ACM conferences/workshops and served on the technical program committee of numerous international conferences and workshops, including IEEE Infocom, SECON, MASS, Globecom, WCNC, and ITC.

Depeng Jin received his B.S. and Ph.D. degrees from Tsinghua University, Beijing, China, in 1995 and 1999 respectively both in electronics engineering. He is an Associate Professor at Tsinghua University and vice chair of Department of Electronic Engineering. Dr. Jin was awarded National Scientific and Technological Innovation Prize (2nd Class) in 2002. His research fields include telecommunications, high-speed networks, ASIC design, and future Internet architecture.

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Cite this article

Zhang, G., Li, T., Li, Y. et al. Blockchain-Based Data Sharing System for AI-Powered Network Operations. J. Commun. Inf. Netw. 3, 1–8 (2018). https://doi.org/10.1007/s41650-018-0024-3

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  • DOI: https://doi.org/10.1007/s41650-018-0024-3

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