Privacy enhancing technologies (PETs) for connected vehicles in smart cities
Abstract
Many Experts believe that the Internet of Things (IoT) is a new revolution in technology that has brought many benefits for our organizations, businesses, and industries. However, information security and privacy protection are important challenges particularly for smart vehicles in smart cities that have attracted the attention of experts in this domain. Privacy Enhancing Technologies (PETs) endeavor to mitigate the risk of privacy invasions, but the literature lacks a thorough review of the approaches and techniques that support individuals' privacy in the connection between smart vehicles and smart cities. This gap has stimulated us to conduct this research with the main goal of reviewing recent privacy-enhancing technologies, approaches, taxonomy, challenges, and solutions on the application of PETs for smart vehicles in smart cities. The significant aspect of this study originates from the inclusion of data-oriented and process-oriented privacy protection. This research also identifies limitations of existing PETs, complementary technologies, and potential research directions.Citation
Sohrabi Safa, N., Mitchell, F., Maple, C., Azad, M.A. and Dabbagh, M. (2020) Privacy enhancing technologies (PETs) for connected vehicles in smart cities. Transactions on Emerging Telecommunications Technologies, 2020, e4173. https://doi.org/10.1002/ett.4173Publisher
WileyJournal
Transactions on Emerging Telecommunications TechnologiesDOI
10.1002/ett.4173Additional Links
https://onlinelibrary.wiley.com/doi/10.1002/ett.4173Type
Journal articleLanguage
enDescription
This is an accepted manuscript of an article published by Wiley in Transactions on Emerging Telecommunications Technologies, available online: https://doi.org/10.1002/ett.4173 The accepted version of the publication may differ from the final published version.ISSN
2161-3915EISSN
2161-3915ae974a485f413a2113503eed53cd6c53
10.1002/ett.4173
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Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc-nd/4.0/