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Privacy-Preserving Content-Based Publish/Subscribe Service Based on Order Preserving Encryption

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11894))

  • The original version of this chapter was revised: The Grant no. should be “24820192019RC56”, not “2018RC56”. This has now been corrected. The correction to this chapter is available at https://doi.org/10.1007/978-3-030-38651-1_33

Abstract

The publish/subscribe model offers a loose-couple communication paradigm for large-scale distribute applications. Content-based publish/subscribe system allows publishers send events with attributes to admin sever, which are called broker, and subscribers can send subscriptions with attributes’ constraints to broker. The brokers can match the events with subscriptions and then forward the events to the matched subscriptions’ sender depends on the results of matching. However, subscriptions reveal subscriber’s privacy information and subscribe strategy, the events also include valuable information. And to reduce the cost, the broker might be deployed on third party’s servers where server owners or malicious entities may access the subscriptions and events, and then may lead to the leakage of privacy information. In this paper, we propose an event matching approach based on order-preserving encryption. The experiments show that our approach privacy-preserving event matching performance significantly.

This work is supported by Key Research and Development Program for Guangdong Province under grant No. 2019B010137003, the Fundamental Research Funds for the Central Universities (Grant no. 24820192019RC56).

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Change history

  • 09 June 2020

    In the version of these papers that was originally published, the Grant no. should be “24820192019RC56”, not “2018RC56”. This has now been corrected.

References

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Correspondence to Ruisheng Shi .

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Li, M., Luo, Q., Wang, L., Shi, R., Shi, J. (2020). Privacy-Preserving Content-Based Publish/Subscribe Service Based on Order Preserving Encryption. In: Hsu, CH., Kallel, S., Lan, KC., Zheng, Z. (eds) Internet of Vehicles. Technologies and Services Toward Smart Cities. IOV 2019. Lecture Notes in Computer Science(), vol 11894. Springer, Cham. https://doi.org/10.1007/978-3-030-38651-1_31

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  • DOI: https://doi.org/10.1007/978-3-030-38651-1_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-38650-4

  • Online ISBN: 978-3-030-38651-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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