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Chain-based big data access control infrastructure

  • Emmanuel Boateng Sifah
  • Qi Xia
  • Kwame Opuni-Boachie Obour Agyekum
  • Sandro Amofa
  • Jianbin Gao
  • Ruidong Chen
  • Hu Xia
  • James C. Gee
  • Xiaojiang Du
  • Mohsen Guizani
Article

Abstract

Technological advancements have brought about the rise of data and other digital assets in our world today. The major problems with data today are its security and management, more importantly access control. These factors when not tackled effectively can lead to many compromises. The blockchain is an effective technology that ensures utmost security, trust, and maximum access control in big data systems. However, almost all the transactions on a blockchain network are stored in the platform. This process reduces the data storage, as the storage of all transactions sometimes creates unnecessary overheads. In this paper, an off-chain-based sovereign blockchain is proposed, where a virtual container is created for parties to transact in. At the end of a transaction, and satisfying each party, the container is destroyed but the results are stored on the sovereign blockchain network. This effectively decreases the amount of data that would have been stored on the network. The effectiveness of our system is compared with other schemes, and we could infer that our proposed system outperforms the already-existing ones.

Keywords

Big data Sovereign blockchain Access control Smart contracts 

Notes

Acknowledgements

This work is supported in part by the applied basic research programs of Sichuan Province (2015JY0043), the Fundamental Research Funds for the Central Universities (ZYGX2015J154, ZYGX2016J152, ZYGX2016J170), programs of international science and technology cooperation and exchange of Sichuan Province (2017HH0028), Key research and development projects of high and new technology development and industrialization of Sichuan Province (2017GZ0007).This work is supported by the National Key Research and Development Program of China (Grant No. 2016QY04WW0802, 2016QY04W0800, 03). This work supported by the National Engineering Laboratory for Big data application on improving government governance capabilities.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Emmanuel Boateng Sifah
    • 1
  • Qi Xia
    • 2
  • Kwame Opuni-Boachie Obour Agyekum
    • 1
  • Sandro Amofa
    • 1
  • Jianbin Gao
    • 3
  • Ruidong Chen
    • 4
  • Hu Xia
    • 4
  • James C. Gee
    • 5
    • 6
  • Xiaojiang Du
    • 7
  • Mohsen Guizani
    • 8
  1. 1.School of Computer Science and EngineeringUESTCChengduChina
  2. 2.Center for Cyber SecurityUESTCChengduChina
  3. 3.School of Resource and Environment, Center for Digital HealthUESTCChengduChina
  4. 4.Youe Data Co. Ltd.BeijingChina
  5. 5.Department of RadiologyUniversity of PennsylvaniaPhiladelphiaUSA
  6. 6.School of Computer Science and EngineeringUESTCChengduChina
  7. 7.Department of Computer and Information SciencesTemple UniversityPhiladelphiaUSA
  8. 8.Department of Electrical and Computer EngineeringUniversity of IdahoMoscowUSA

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