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SEPSI: A Secure and Efficient Privacy-Preserving Set Intersection with Identity Authentication in IoT
2022
Mathematics
The rapid development of the Internet of Things (IoT), big data and artificial intelligence (AI) technology has brought extensive IoT services to entities. However, most IoT services carry the risk of leaking privacy. Privacy-preserving set intersection in IoT is used for a wide range of basic services, and its privacy protection issues have received widespread attention. The traditional candidate protocols to solve the privacy-preserving set intersection are classical encryption protocols
doi:10.3390/math10122120
fatcat:6jaawqstkzga7k7ub4cybiznbq