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Blockchain Integrated Framework for Resolving Privacy Issues in Smart City

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Data-Driven Mining, Learning and Analytics for Secured Smart Cities

Abstract

Smart City is the concept for improvising the urban cities operating and services efficiency by making use of IoT (Internet of things) which is a modular approach that operates by deploying sensors with significant qualities and integrating them with ICT (Information and Communication Technologies) solutions. The application area for the IoT platform has been in smart building and office management, transportation, environmental degradation surveillance, and smart grid management, etc. However, maintaining an efficient architecture for its operation in a complex environment has been a challenge for several years. This will increase the security and privacy concerns with the increase in smart applications within smart cities. This chapter aims to study the issues related to data integrity and security and the approach used to resolve these issues using blockchain analytics algorithms and architecture. This chapter also gives the future direction towards achieving low-cost architectural management for smart cities. This chapter is mainly focused to analyze such challenges and to identify limitations of the existing secure smart cities framework and to proposes an effective blockchain-based smart city interaction framework.

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Author information

Authors and Affiliations

  1. Lingayas Vidyapeeth, Faridabad, India

    Pradeep Bedi

  2. City University, Petaling Jaya, Malaysia

    S. B. Goyal

  3. St. Andrews Institute of Technology and Management, Gurgaon, India

    Jugnesh Kumar

  4. BlueCrest College, Freetown, Sierra Leone

    Shailesh Kumar

Authors
  1. Pradeep Bedi
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  2. S. B. Goyal
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  3. Jugnesh Kumar
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  4. Shailesh Kumar
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Editor information

Editors and Affiliations

  1. Birla Institute of Technology, Mesra, Jharkhand, India

    Chinmay Chakraborty

  2. Computer Science, Electrical Engineering, Western Norway University of Applied Sci, Bergen, Norway

    Jerry Chun-Wei Lin

  3. Casuarina Campus, Purple 12.3.6, Charles Darwin University, Darwin, NT, Australia

    Mamoun Alazab

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Bedi, P., Goyal, S.B., Kumar, J., Kumar, S. (2021). Blockchain Integrated Framework for Resolving Privacy Issues in Smart City. In: Chakraborty, C., Lin, J.CW., Alazab, M. (eds) Data-Driven Mining, Learning and Analytics for Secured Smart Cities. Advanced Sciences and Technologies for Security Applications. Springer, Cham. https://doi.org/10.1007/978-3-030-72139-8_6

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  • DOI: https://doi.org/10.1007/978-3-030-72139-8_6

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