Advertisement

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

  • Vishwajeet PattanaikEmail author
  • Ioane SharvadzeEmail author
  • Dirk Draheim
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11814)

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.

Keywords

Data ownership Decentralization Human-computer interaction Peer-to-peer Social web Security Web apps WebRTC 

References

  1. 1.
    Bakir, V., McStay, A.: Fake news and the economy of emotions. Digit. J. 6(2), 154–175 (2018).  https://doi.org/10.1080/21670811.2017.1345645CrossRefGoogle Scholar
  2. 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. 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_33CrossRefGoogle Scholar
  4. 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. 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_18CrossRefGoogle Scholar
  6. 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. 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. 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.2018.3191268CrossRefGoogle Scholar
  9. 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.2009.09.003CrossRefGoogle Scholar
  10. 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.2015.06.001CrossRefGoogle Scholar
  11. 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. 12.
    Lazer, D.M.J., et al.: The science of fake news. Science 359(6380), 1094–1096 (2018).  https://doi.org/10.1126/science.aao2998CrossRefGoogle Scholar
  13. 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. 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_7CrossRefGoogle Scholar
  15. 15.
    Richards, R.: Representational state transfer (REST), pp. 633–672. Apress, Berkeley (2006).  https://doi.org/10.1007/978-1-4302-0139-7_17CrossRefGoogle Scholar
  16. 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. 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. 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. 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. 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

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.MicrosoftTallinnEstonia
  2. 2.Information Systems GroupTallinn University of TechnologyTallinnEstonia

Personalised recommendations