Skip to main content

Using Blockchain to Support Data and Service Management in IoV/IoT

  • Conference paper
  • First Online:
Security with Intelligent Computing and Big-data Services (SICBS 2017)

Abstract

Two required features of a data monetization platform are query and retrieval of the metadata of the resources to be monetized. Centralized platforms rely on the maturity of traditional NoSQL database systems to support these features. These databases for example MongoDB allows for very efficient query and retrieval of data it stores. However, centralized platforms come with a bag of security and privacy concerns, making them not the ideal approach for a data monetization platform. On the other hand, most existing decentralized platforms are only partially decentralized. In this research, we developed Cowry, a platform for publishing of metadata describing available resources (data or services), discovery of published resources including fast search and filtering. Our main contribution is a fully decentralized architecture that combines blockchain and traditional distributed database to gain additional features such as efficient query and retrieval of metadata stored on the blockchain.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Alam, K.M., Saini, M., El Saddik, A.: Toward social internet of vehicles: concept, architecture, and applications. IEEE Access 3, 343–357 (2015)

    Article  Google Scholar 

  2. Bahga, A., Madisetti, V.K.: Blockchain platform for industrial Internet of Things. J. Softw. Eng. Appl. 9, 533–546 (2016). http://www.scirp.org/journal/jsea

    Article  Google Scholar 

  3. Bitcoin Wiki: Double spending. https://en.bitcoin.it/wiki/Double-spending. Accessed 28 Mar 2017

  4. Carboni, D.: Feedback based reputation on top of the Bitcoin blockchain. arXiv preprint arXiv:1502.01504 (2015)

  5. Christidis, K., Devetsikiotis, M.: Blockchains and smart contracts for the Internet of Things. IEEE Access 4, 2292–2303 (2016)

    Article  Google Scholar 

  6. Coin Sciences: MultiChain - open platform for blockchain applications. https://www.multichain.com/. Accessed 28 Mar 2017

  7. Coin Sciences: MultiChain permissions management. https://www.multichain.com/developers/permissions-management/. Accessed 10 Aug 2017

  8. Coin Sciences: MultiChain runtime parameters. https://www.multichain.com/developers/runtime-parameters/. Accessed 10 Aug 2017

  9. Finley, K.: Tim Berners-Lee, inventor of the web, plots a radical overhaul of his creation. https://www.wired.com/2017/04/tim-berners-lee-inventor-web-plots-radical-overhaul-creation/. Accessed 4 Aug 2017

  10. Fischer, M.J.: The consensus problem in unreliable distributed systems (a brief survey). In: International Conference on Fundamentals of Computation Theory, pp. 127–140. Springer, Heidelberg (1983)

    Google Scholar 

  11. Fox-Brewster, T.: Ashley Madison breach could expose privates of 37 million cheaters. https://www.forbes.com/sites/thomasbrewster/2015/07/20/ashley-madison-attack/#85148765f48c. Accessed 30 June 2017

  12. Goel, V.: Facebook tinkers with users emotions in news feed experiment, stirring outcry. https://goo.gl/HYDba4. Accessed 26 May 2017

  13. Greenspan, G.: Introducing multichain streams. http://www.multichain.com/blog/2016/09/introducing-multichain-streams/. Accessed 28 Mar 2017

  14. Greenspan, G.: MultiChain data streams. http://www.multichain.com/developers/data-streams/. Accessed 28 Mar 2017

  15. Greenwald, G., MacAskill, E.: NSA prism program taps in to user data of Apple, Google and others. https://www.theguardian.com/world/2013/jun/06/us-tech-giants-nsa-data. Accessed 5 June 2017

  16. Johnson, D., Menezes, A., Vanstone, S.: The elliptic curve digital signature algorithm (ECDSA). Int. J. Inf. Secur. 1(1), 36–63 (2001)

    Article  Google Scholar 

  17. Meiklejohn, S., Pomarole, M., Jordan, G., Levchenko, K., McCoy, D., Voelker, G.M., Savage, S.: A fistful of Bitcoins: characterizing payments among men with no names. In: Proceedings of the 2013 Conference on Internet Measurement Conference, pp. 127–140. ACM (2013)

    Google Scholar 

  18. Merkle, R.: A digital signature based on a conventional encryption function. In: Advances in Cryptology CRYPTO 1987, pp. 369–378. Springer, London (2006)

    Google Scholar 

  19. Microsoft: Networking basics: peer-to-peer vs. server-based networks. https://technet.microsoft.com/en-us/library/cc527483(v=ws.10).aspx. Accessed 27 July 2017

  20. Microsoft: Understanding public key cryptography. https://technet.microsoft.com/en-us/library/aa998077(v=exchg.65).aspx. Accessed 28 Mar 2017

  21. Mišura, K., Žagar, M.: Data marketplace for Internet of Things. In: International Conference on Smart Systems and Technologies (SST), pp. 255–260. IEEE (2016)

    Google Scholar 

  22. Nakamoto, S.: Bitcoin: a peer-to-peer electronic cash system (2008)

    Google Scholar 

  23. Noyen, K., Volland, D., Wörner, D., Fleisch, E.: When money learns to fly: towards sensing as a service applications using Bitcoin. arXiv preprint arXiv:1409.5841 (2014)

  24. Ouaddah, A., Elkalam, A.A., Ouahman, A.A.: Fairaccess: a new blockchain-based access control framework for the Internet of Things. Secur. Commun. Netw. 9(18), 5943–5964 (2016)

    Article  Google Scholar 

  25. Perera, C.: Sensing as a service (S2aaS): Buying and selling IoT data. arXiv preprint arXiv:1702.02380 (2017)

  26. Robert, J., Kubler, S., Le Traon, Y.: Micro-billing framework for IoT: research & technological foundations. In: IEEE 4th International Conference on Future Internet of Things and Cloud (FiCloud), pp. 301–308. IEEE (2016)

    Google Scholar 

  27. Robinson, T.: Bitcoin is not anonymous. http://www.respublica.org.uk/disraeli-room-post/2015/03/24/bitcoin-is-not-anonymous/. Accessed 1 Aug 2017

  28. 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. Springer, Cham (2016)

    Google Scholar 

  29. Siegel, D.: Understanding the DAO attack. https://www.coindesk.com/understanding-dao-hack-journalists/. Accessed 11 Aug 2017

  30. Wörner, D.: Design of a real-time data market based on the 21 Bitcoin computer. In: Proceedings of the 11th International Conference on DESRIST 2016, St. Johns, 23–25 May 2016, pp. 228–232. Springer, Cham (2016)

    Google Scholar 

  31. Wörner, D., von Bomhard, T.: When your sensor earns money: exchanging data for cash with Bitcoin. In: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication, pp. 295–298. ACM (2014)

    Google Scholar 

  32. Xu, X., Pautasso, C., Zhu, L., Gramoli, V., Ponomarev, A., Tran, A.B., Chen, S.: The blockchain as a software connector. In: 13th Working IEEE/IFIP Conference on Software Architecture (WICSA), pp. 182–191. IEEE (2016)

    Google Scholar 

  33. Zheng, Z., Xie, S., Dai, H.N., Wang, H.: Blockchain challenges and opportunities: a survey (2016)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Obaro Odiete .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Odiete, O., Lomotey, R.K., Deters, R. (2018). Using Blockchain to Support Data and Service Management in IoV/IoT. In: Peng, SL., Wang, SJ., Balas, V., Zhao, M. (eds) Security with Intelligent Computing and Big-data Services. SICBS 2017. Advances in Intelligent Systems and Computing, vol 733. Springer, Cham. https://doi.org/10.1007/978-3-319-76451-1_33

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-76451-1_33

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-76450-4

  • Online ISBN: 978-3-319-76451-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics