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Leveraging Blockchain to Enhance Data Privacy in IoT-Based Applications

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Computational Data and Social Networks (CSoNet 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11280))

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Abstract

In this paper, we present how blockchain can be leveraged to tackle data privacy issues in Internet of Things (IoT). With the aid of smart contracts, we have developed a system model featuring a trustless access control management mechanism to ensure that users have full control over their data and can track how data are accessed by third-party services. Additionally, we propose a firmware update scheme using blockchain that helps prevent fraudulent data caused by IoT device tampering. Finally, we discuss how our proposed solution can strengthen the data privacy as well as tolerate common adversaries.

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Acknowledgment

This paper is partially supported by NSF CNS-1443905 and NSF EFRI 1441231.

Author information

Authors and Affiliations

  1. Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, 32611, USA

    Truc D. T. Nguyen & My T. Thai

  2. Faculty of Computer Science and Engineering, HCMC University of Technology, VNU-HCM, Ho Chi Minh City, Vietnam

    Hoang-Anh Pham

Authors
  1. Truc D. T. Nguyen
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  2. Hoang-Anh Pham
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  3. My T. Thai
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Corresponding author

Correspondence to Truc D. T. Nguyen .

Editor information

Editors and Affiliations

  1. Texas Southern University, Houston, TX, USA

    Xuemin Chen

  2. Ira A. Fulton School of Engineering, Tempe, AZ, USA

    Arunabha Sen

  3. Texas Southern University, Houston, TX, USA

    Wei Wayne Li

  4. University of Florida, Gainesville, AL, USA

    My T. Thai

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Nguyen, T.D.T., Pham, HA., Thai, M.T. (2018). Leveraging Blockchain to Enhance Data Privacy in IoT-Based Applications. In: Chen, X., Sen, A., Li, W., Thai, M. (eds) Computational Data and Social Networks. CSoNet 2018. Lecture Notes in Computer Science(), vol 11280. Springer, Cham. https://doi.org/10.1007/978-3-030-04648-4_18

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  • DOI: https://doi.org/10.1007/978-3-030-04648-4_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04647-7

  • Online ISBN: 978-3-030-04648-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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