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 language | English |
|---|---|
| Title of host publication | Smart Cities Cybersecurity and Privacy |
| Publisher | Elsevier |
| Pages | 57-73 |
| Number of pages | 17 |
| ISBN (Electronic) | 9780128150320 |
| ISBN (Print) | 9780128150337 |
| DOIs | |
| State | Published - 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)
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SDG 11 Sustainable Cities and Communities
Keywords
- Crowdsensing
- Privacy
- Smart cities
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