Advertisement

A Novel Sustainable Interchain Network Framework for Blockchain

  • Qi Yang
  • Hong Guo
  • Vic Zhu
  • Xiang Fan
  • Xin Cui
  • Xiangrui Kong
  • Bobinson Kalarikkal Bobby
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11373)

Abstract

The traditional online data exchanges are processed through the third-parties’ support. However, such mode is facing the problem on personal privacy disclosure and relate issues. Blockchain has been proposed as a promising diagram as the new approach for data organization and management, especially for the online data exchanges. It can provide reliable and credible service for business and related requirements as the decentralization technology. The blockchain network itself is always the focus of the whole system for it’s the foundation of all the services. When more than one blockchains is proposed to provide different services for different using environments, it is becoming a challenge on how to exchange the data between the different blockchains. In this paper, we provide the design of unitary, which a novel sustainable interchain network framework for blockchain. Unitary Interchain Network is a network consists of infinite parallel global blockchain networks. It is a distributed P2P network of decentralized networks. It can provide sustainable service as the basic blockchain network.

Keywords

Cross chain Blockchain Observer chain 

References

  1. 1.
    Lin, I.-C., Liao, T.-C.: A survey of blockchain security issues and challenges. IJ Netw. Secur. 19(5), 653–659 (2017)Google Scholar
  2. 2.
    Tapscott, D., Tapscott, A.: The impact of the blockchain goes beyond financial services. Harv. Bus. Rev. 10 (2016)Google Scholar
  3. 3.
    Zyskind, G., Nathan, O., et al.: Decentralizing privacy: using blockchain to protect personal data. In: 2015 IEEE Security and Privacy Workshops (SPW), pp. 180–184. IEEE (2015)Google Scholar
  4. 4.
    Eyal, I., Gencer, A.E., Sirer, E.G., Van Renesse, R.: Bitcoin-NG: a scalable blockchain protocol. In: NSDI, pp. 45–59 (2016)Google Scholar
  5. 5.
    Vukolić, M.: The quest for scalable blockchain fabric: proof-of-work vs. BFT replication. In: Camenisch, J., Kesdoğan, D. (eds.) iNetSec 2015. LNCS, vol. 9591, pp. 112–125. Springer, Cham (2016).  https://doi.org/10.1007/978-3-319-39028-4_9CrossRefGoogle Scholar
  6. 6.
    Back, A., et al.: Enabling blockchain innovations with pegged sidechains (2014). http://www.opensciencereview.com/papers/123/enablingblockchain-innovations-with-pegged-sidechains
  7. 7.
    Kshetri, N.: Can blockchain strengthen the internet of things? IT Prof. 19(4), 68–72 (2017)CrossRefGoogle Scholar
  8. 8.
    Xu, X., et al.: A taxonomy of blockchain-based systems for architecture design. In: 2017 IEEE International Conference on Software Architecture (ICSA), pp. 243–252. IEEE (2017)Google Scholar
  9. 9.
    Gai, K., Choo, K.K.R., Qiu, M., Zhu, L.: Privacy-preserving content-oriented wireless communication in internet-of-things. IEEE IoT J. 5(4), 3059–3067 (2018)Google Scholar
  10. 10.
    Gai, K., Qiu, M.: Blend arithmetic operations on tensor-based fully homomorphic encryption over real numbers. IEEE Trans. Ind. Inform. 14(8), 3590–3598 (2018)CrossRefGoogle Scholar
  11. 11.
    Kraft, D.: Difficulty control for blockchain-based consensus systems. Peer-to-Peer Network. Appl. 9(2), 397–413 (2016)CrossRefGoogle Scholar
  12. 12.
    Sikorski, J.J., Haughton, J., Kraft, M.: Machine-to-machine electricity market: blockchain technology in the chemical industry. Appl. Energy 195, 234–246 (2017)CrossRefGoogle Scholar
  13. 13.
    Iansiti, M., Lakhani, K.R.: The truth about blockchain. Harv. Bus. Rev. 95(1), 118–127 (2017)Google Scholar
  14. 14.
    Crosby, M., Pattanayak, P., Verma, S., Kalyanaraman, V.: Blockchain technology: beyond bitcoin. Appl. Innov. 2, 6–10 (2016)CrossRefGoogle Scholar
  15. 15.
    Zhu, L., Wu, Y., Gai, K., Choo, K.K.R.: Controllable and trustworthy blockchain-based cloud data management. Futur. Gener. Comput. Syst. 91, 527–535 (2018)CrossRefGoogle Scholar
  16. 16.
    Gai, K., Qiu, M., Zhao, H., Tao, L., Zong, Z.: Dynamic energy-aware cloudlet-based mobile cloud computing model for green computing. J. Netw. Comput. Appl. 59(C), 46–54 (2016)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Qi Yang
    • 1
    • 2
  • Hong Guo
    • 1
    • 2
  • Vic Zhu
    • 3
  • Xiang Fan
    • 3
  • Xin Cui
    • 3
  • Xiangrui Kong
    • 3
  • Bobinson Kalarikkal Bobby
    • 3
  1. 1.College of Computer ScienceWuhan University of Science and TechnologyWuhanChina
  2. 2.Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial SystemWuhanChina
  3. 3.UINP LabHangzhouChina

Personalised recommendations