Nothing Special   »   [go: up one dir, main page]

Skip to main content

Framework for Peer-to-Peer Data Sharing over Web Browsers

  • Conference paper
  • First Online:
Future Data and Security Engineering (FDSE 2019)

Abstract

The Web was originally designed to be a decentralized environment where everybody could share a common information space to communicate and share information. However, over the last decade, the Web has become increasingly centralized. This has led to serious concerns about data ownership and misuse of personal data. While there are several approaches to solve these problems, none of them provides a simple and extendable solution. To this end, in this paper, we present an application-independent, browser-based framework for sharing data between applications over peer-to-peer networks. The framework aims to empower end-users with complete data ownership, by allowing them to store shareable web content locally, and by enabling content sharing without the risk of data theft or monitoring. We present the functional requirements, implementation details, security aspects, and limitations of the proposed framework. And finally, discuss the challenges that we encountered while designing the framework; especially, why it is difficult to create a server-less application for the Web.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Similar content being viewed by others

Notes

  1. 1.

    W3C—The World Wide Web: A very short personal history.

  2. 2.

    W3C—WebIDs and the WebID Protocol.

  3. 3.

    W3C—WebID Authentication over TLS (editor’s draft).

  4. 4.

    Stack Overflow—Developer Survey Results 2017.

References

  1. Bakir, V., McStay, A.: Fake news and the economy of emotions. Digit. J. 6(2), 154–175 (2018). https://doi.org/10.1080/21670811.2017.1345645

    Article  Google Scholar 

  2. Cadwalladr, C., Graham-Harrison, E.: Revealed: 50 million Facebook profiles harvested for Cambridge analytica in major data breach, March 2018. https://www.theguardian.com/news/2018/mar/17/cambridge-analytica-facebook-influence-us-election. The Guardian. Accessed 13 Aug 2019

  3. Capadisli, S., Guy, A., Verborgh, R., Lange, C., Auer, S., Berners-Lee, T.: Decentralised authoring, annotations and notifications for a read-write web with dokieli. In: Cabot, J., De Virgilio, R., Torlone, R. (eds.) ICWE 2017. LNCS, vol. 10360, pp. 469–481. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-60131-1_33

    Chapter  Google Scholar 

  4. Dodson, B., Vo, I., Purtell, T., Cannon, A., Lam, M.: Musubi: disintermediated interactive social feeds for mobile devices. In: Proceedings of the 21st International Conference on World Wide Web, WWW 2012, pp. 211–220. ACM, New York (2012). https://doi.org/10.1145/2187836.2187866

  5. Draheim, D., Felderer, M., Pekar, V.: Weaving social software features into enterprise resource planning systems. In: Piazolo, F., Felderer, M. (eds.) Novel Methods and Technologies for Enterprise Information Systems. LNISO, vol. 8, pp. 223–237. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-07055-1_18

    Chapter  Google Scholar 

  6. Ford, B., Srisuresh, P., Kegel, D.: Peer-to-peer communication across network address translators. In: Proceedings of the Annual Conference on USENIX Annual Technical Conference, ATEC 2005, pp. 13–13. USENIX Association, Berkeley (2005). http://dl.acm.org/citation.cfm?id=1247360.1247373

  7. Heitmann, B., Kim, J.G., Passant, A., Hayes, C., Kim, H.G.: An architecture for privacy-enabled user profile portability on the web of data. In: Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems, HetRec 2010, pp. 16–23. ACM, New York (2010). https://doi.org/10.1145/1869446.1869449

  8. Isaak, J., Hanna, M.J.: User data privacy: Facebook, Cambridge analytica, and privacy protection. Computer 51(8), 56–59 (2018). https://doi.org/10.1109/MC.2018.3191268

    Article  Google Scholar 

  9. Kaplan, A.M., Haenlein, M.: Users of the world, unite! The challenges and opportunities of social media. Bus. Horiz. 53(1), 59–68 (2010). https://doi.org/10.1016/j.bushor.2009.09.003

    Article  Google Scholar 

  10. Kim, H.C.: Acceptability engineering: the study of user acceptance of innovative technologies. J. Appl. Res. Technol. 13(2), 230–237 (2015). https://doi.org/10.1016/j.jart.2015.06.001

    Article  Google Scholar 

  11. Knight, R.: Convincing skeptical employees to adopt new technology, August 2015. https://hbr.org/2015/03/convincing-skeptical-employees-to-adopt-new-technology. Harvard Business Review. Accessed 13 Aug 2019

  12. Lazer, D.M.J., et al.: The science of fake news. Science 359(6380), 1094–1096 (2018). https://doi.org/10.1126/science.aao2998

    Article  Google Scholar 

  13. Mansour, E., et al.: A demonstration of the solid platform for social web applications. In: Proceedings of the 25th International Conference Companion on World Wide Web, WWW 2016 Companion, pp. 223–226. International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva (2016). https://doi.org/10.1145/2872518.2890529

  14. Pattanaik, V., Norta, A., Felderer, M., Draheim, D.: Systematic support for full knowledge management lifecycle by advanced semantic annotation across information system boundaries. In: Mendling, J., Mouratidis, H. (eds.) CAiSE 2018. LNBIP, vol. 317, pp. 66–73. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-92901-9_7

    Chapter  Google Scholar 

  15. Richards, R.: Representational state transfer (REST), pp. 633–672. Apress, Berkeley (2006). https://doi.org/10.1007/978-1-4302-0139-7_17

    Chapter  Google Scholar 

  16. Sambra, A., Guy, A., Capadisli, S., Greco, N.: Building decentralized applications for the social web. In: Proceedings of the 25th International Conference Companion on World Wide Web, WWW 2016 Companion, pp. 1033–1034. International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva (2016). https://doi.org/10.1145/2872518.2891060

  17. Sambra, A., Hawke, S., Berners-Lee, T., Kagal, L., Aboulnaga, A.: CIMBA: client-integrated microblogging architecture. In: Proceedings of the 2014 International Conference on Posters & Demonstrations Track, ISWC-PD 2014, vol. 1272, pp. 57–60. CEUR-WS.org, Aachen (2014). http://dl.acm.org/citation.cfm?id=2878453.2878468

  18. Sambra, A.V., et al.: Solid: a platform for decentralized social applications based on linked data. Technical report, MIT CSAIL & Qatar Computing Research Institute (2016). https://www.semanticscholar.org/paper/Solid-%3A-A-Platform-for-Decentralized-Social-Based-Sambra-Mansour/5ac93548fd0628f7ff8ff65b5878d04c79c513c4

  19. Story, H., Harbulot, B., Jacobi, I., Jones, M.: FOAF+SSL: RESTful authentication for the social web. In: CEUR Workshop Proceedings (2009)

    Google Scholar 

  20. Van Kleek, M., et al.: Social personal data stores: the nuclei of decentralised social machines. In: Proceedings of the 24th International Conference on World Wide Web, WWW 2015 Companion, pp. 1155–1160. ACM, New York (2015). https://doi.org/10.1145/2740908.2743975

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Vishwajeet Pattanaik or Ioane Sharvadze .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Pattanaik, V., Sharvadze, I., Draheim, D. (2019). Framework for Peer-to-Peer Data Sharing over Web Browsers. In: Dang, T., Küng, J., Takizawa, M., Bui, S. (eds) Future Data and Security Engineering. FDSE 2019. Lecture Notes in Computer Science(), vol 11814. Springer, Cham. https://doi.org/10.1007/978-3-030-35653-8_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-35653-8_14

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-35652-1

  • Online ISBN: 978-3-030-35653-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics