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Scientific Article details

Title Secure Multi-Party Computation-Based Privacy-Preserving Authentication for Smart Cities
ID_Doc 43466
Authors Sucasas, V; Aly, A; Mantas, G; Rodriguez, J; Aaraj, N
Title Secure Multi-Party Computation-Based Privacy-Preserving Authentication for Smart Cities
Year 2023
Published Ieee Transactions On Cloud Computing, 11, 4
DOI 10.1109/TCC.2023.3294621
Abstract The increasing concern for identity confidentiality in the Smart City scenario has fostered research on privacy-preserving authentication based on pseudonymization. Pseudonym systems enable citizens to generate pseudo-identities and establish unlinkable anonymous accounts in cloud service providers. The citizen's identity is concealed, and his/her different anonymous accounts cannot be linked to each other. Unfortunately, current pseudonym systems require a trusted certification authority (CA) to issue the cryptographic components (e.g., credentials, secret keys, or pseudonyms) to citizens. This CA, generally a Smart City governmental entity, has the capability to grant or revoke privacy rights at will, hence posing a serious threat in case of corruption. Additionally, if the pseudonym system enables de-anonymization of misusers, a corrupted CA can jeopardize the citizens' privacy. This paper presents a novel approach to construct a pseudonym system without a trusted issuer. The CA is emulated by a set of Smart City service providers by means of secure multi-party computation (MPC), which circumvents the requirement of assuming an honest CA. The paper provides a full description of the system, which integrates an MPC protocol and a pseudonym-based signature scheme. The system has been implemented and tested.
Author Keywords Authentication; Cloud computing; multi-party computation; privacy
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:001124007100006
WoS Category Computer Science, Information Systems; Computer Science, Software Engineering; Computer Science, Theory & Methods
Research Area Computer Science
PDF http://gala.gre.ac.uk/id/eprint/43177/7/43177_MANTAS_Secure_multi_party_computation_based_privacy_preserving_asuthentication_for_Smart_Cities.pdf
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