Blockchain: A Research Framework for Data Security and Privacy

  • Farhad Daneshgar
  • Omid Ameri SianakiEmail author
  • Prabhat Guruwacharya
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 927)


As an emerging field of research, Blockchain is currently experiencing a lack of research frameworks to guide studies in the field. Emerging technologies are usually triggered first, and then the academic world will attempt to develop discipline for these technologies. Our current exploratory work-in-progress is an initial attempt in developing a research framework for investigating the security of data through Blockchain. This study is the first phase of a more extensive study that aims to provide a conceptual framework for blockchain research in general. In its current form, the initial proposed framework of this study can be used for both scoping as well as evaluating existing research approaches in the field of data security through blockchain technology. It is also expected to facilitate scoping and categorizing future studies by providing a set of defined set research categories in the field.


Blockchain data security Blockchain research Blockchain meta data Blockchain research themes 


  1. 1.
    Puthal, D., Malik, N., Mohanty, S.P., Kougianos, E., Yang, C.: The blockchain as a decentralized security framework. IEEE Consum. Electron. Mag. 7, 18–21 (2018)CrossRefGoogle Scholar
  2. 2.
    Goldfeder, S., Kalodner, H., Reisman, D., Narayanan, A.: When the cookie meets the blockchain: privacy risks of web payments via cryptocurrencies. Proc. Priv. Enhanc. Technol. 2018, 179–199 (2018)CrossRefGoogle Scholar
  3. 3.
    Zheng, Z., Xie, S., Dai, H.-N., Chen, X., Wang, H.: Blockchain challenges and opportunities: a survey. Int. J. Web Grid Serv. 14, 352–375 (2018)CrossRefGoogle Scholar
  4. 4.
    Kosba, A., Miller, A., Shi, E., Wen, Z., Papamanthou, C.: Hawk: the blockchain model of cryptography and privacy-preserving smart contracts. In: 2016 IEEE Symposium on Security and Privacy (SP), pp. 839–858 (2016)Google Scholar
  5. 5.
    Akins, B.W., Chapman, J.L., Gordon, J.M.: A whole new world: income tax considerations of the Bitcoin economy. Pitt. Tax Rev. 12, 25 (2014)Google Scholar
  6. 6.
    Zhang, Y., Wen, J.: An IoT electric business model based on the protocol of bitcoin. In: 2015 18th International Conference on Intelligence in Next Generation Networks (ICIN), pp. 184–191 (2015)Google Scholar
  7. 7.
    Sharples, M., Domingue, J.: The blockchain and kudos: a distributed system for educational record, reputation and reward. In: European Conference on Technology Enhanced Learning, pp. 490–496 (2016)Google Scholar
  8. 8.
    Noyes, C.: Bitav: fast anti-malware by distributed blockchain consensus and feedforward scanning. arXiv preprint arXiv:1601.01405 (2016)
  9. 9.
    Standards Australia: Roadmap for blockchain standards report (2017)Google Scholar
  10. 10.
    Seuring, S., Müller, M.: From a literature review to a conceptual framework for sustainable supply chain management. J. Clean. Prod. 16, 1699–1710 (2008)CrossRefGoogle Scholar
  11. 11.
    Park, J.H., Park, J.H.: Blockchain security in cloud computing: use cases, challenges, and solutions. Symmetry 9, 164 (2017)CrossRefGoogle Scholar
  12. 12.
    Axon, L.: Privacy-awareness in blockchain-based PKI (2015)Google Scholar
  13. 13.
    Zyskind, G., Nathan, O.: Decentralizing privacy: using blockchain to protect personal data. In: 2015 IEEE Security and Privacy Workshops (SPW), pp. 180-184 (2015)Google Scholar
  14. 14.
    Chuen, D.L.K.: Handbook of Digital Currency: Bitcoin, Innovation, Financial Instruments, and Big Data. Academic Press, Cambridge (2015)Google Scholar
  15. 15.
    Zheng, Z., Xie, S., Dai, H., Chen, X., Wang, H.: An overview of blockchain technology: architecture, consensus, and future trends. In: 2017 IEEE International Congress on Big Data (BigData Congress), pp. 557-564 (2017)Google Scholar
  16. 16.
    Dorri, A., Steger, M., Kanhere, S.S., Jurdak, R.: Blockchain: a distributed solution to automotive security and privacy. IEEE Commun. Mag. 55, 119–125 (2017)CrossRefGoogle Scholar
  17. 17.
    De Filippi, P.: The interplay between decentralization and privacy: the case of blockchain technologies (2016)Google Scholar
  18. 18.
    Sarwar, M.U., Hanif, M.K., Talib, R., Sarwar, B., Hussain, W.: Data provenance for cloud computing using watermark. Int. J. Adv. Comput. Sci. Appl. 8, 407–411 (2017)Google Scholar
  19. 19.
    Liang, X., Shetty, S., Tosh, D., Kamhoua, C., Kwiat, K., Njilla, L.: Provchain: a blockchain-based data provenance architecture in cloud environment with enhanced privacy and availability. In: Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, pp. 468–477 (2017)Google Scholar
  20. 20.
    Dorri, A., Kanhere, S.S., Jurdak, R., Gauravaram, P.: Blockchain for IoT security and privacy: the case study of a smart home. In: 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), pp. 618–623 (2017)Google Scholar
  21. 21.
    Huckle, S., Bhattacharya, R., White, M., Beloff, N.: Internet of things, blockchain and shared economy applications. Proc. Comput. Sci. 98, 461–466 (2016)CrossRefGoogle Scholar
  22. 22.
    Castro, M., Liskov, B.: Practical Byzantine fault tolerance. In: OSDI, pp. 173–186 (1999)Google Scholar
  23. 23.
    Nakamoto, S.: The proof-of-work chain is a solution to the Byzantine generals’ problem. The Cryptography Mailing List, November 2008Google Scholar
  24. 24.
    Cachin, C.: Architecture of the hyperledger blockchain fabric. In: Workshop on Distributed Cryptocurrencies and Consensus Ledgers (2016)Google Scholar
  25. 25.
    Mazieres, D.: The stellar consensus protocol: a federated model for internet-level consensus. Stellar Development Foundation (2015)Google Scholar
  26. 26.
    Zhu, H., Zhou, Z.Z.: Analysis and outlook of applications of blockchain technology to equity crowdfunding in China. Financ. Innov. 2, 29 (2016)CrossRefGoogle Scholar
  27. 27.
    Schwartz, D., Youngs, N., Britto, A.: The ripple protocol consensus algorithm. Ripple Labs Inc White Paper (2014)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Farhad Daneshgar
    • 1
  • Omid Ameri Sianaki
    • 1
    Email author
  • Prabhat Guruwacharya
    • 1
  1. 1.College of Engineering and ScienceVictoria University SydneySydneyAustralia

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