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Crowdsensing and privacy in smart city applications

  • Raj Gaire
  • , Ratan K. Ghosh
  • , Jongkil Kim
  • , Alexander Krumpholz
  • , Rajiv Ranjan
  • , R. K. Shyamasundar
  • , Surya Nepal

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

15 Scopus citations

Abstract

Smartness in smart cities is achieved by sensing phenomena of interest and using them to make smart decisions. Because the decision makers may not own all the necessary sensing infrastructures, crowdsourced sensing can help collect important information about the city in near real-time. However, involving people brings the risk of exposing their private information. This chapter explores crowdsensing in smart city applications and its privacy implications.

Original languageEnglish
Title of host publicationSmart Cities Cybersecurity and Privacy
PublisherElsevier
Pages57-73
Number of pages17
ISBN (Electronic)9780128150320
ISBN (Print)9780128150337
DOIs
StatePublished - 1 Jan 2018

Bibliographical note

Publisher Copyright:
© 2019 Elsevier Inc. All rights reserved.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Crowdsensing
  • Privacy
  • Smart cities

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