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A privacy-enhanced OAuth 2.0 based protocol for smart city mobile applications

A privacy-enhanced OAuth 2.0 based protocol for smart city mobile applications

Sucasas, Victor, Mantas, Georgios, Althunibat, Saud, Oliveira, Leonardo, Antonopoulos, Angelos, Otung, Ifiok and Rodriguez, Jonathan (2018) A privacy-enhanced OAuth 2.0 based protocol for smart city mobile applications. Computers & Security, 74. pp. 258-274. ISSN 0167-4048 (doi:https://doi.org/10.1016/j.cose.2018.01.014)

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Abstract

In the forthcoming Smart City scenario, Service Providers will require users to authenticate themselves and authorize their mobile applications to access their remote accounts. In this scenario, OAuth 2.0 has been widely adopted as a de facto authentication and authorization protocol. However, the current OAuth 2.0 protocol specification does not consider the user privacy issue and presents several vulnerabilities that can jeopardize users’ privacy rights. Therefore, in this paper we propose an OAuth 2.0 based protocol for Smart City mobile applications that addresses the user privacy issue by integrating a pseudonym-based signature scheme and a signature delegation scheme into the OAuth 2.0 protocol flow. The proposed solution allows users to self-generate user-specific and app-specific pseudonyms on-demand and ensure privacy-enhanced user authentication at the Service Provider side. The proposed protocol has been validated with Proverif and its performance has been evaluated in terms of time and space complexity. Results show that the proposed protocol can provide users with efficient and effective means to authenticate towards service providers while preventing user tracking and impersonation from malicious entities located in the network side or in the users’ mobile device.

Item Type: Article
Uncontrolled Keywords: privacy-preserving, authentication, pseudonym-based signatures, OAuth 2.0, Smart City
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Department of Applied Engineering & Management
Last Modified: 04 Jul 2019 16:26
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: GREAT 2
URI: http://gala.gre.ac.uk/id/eprint/23938

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