Spam: Secure and Privacy-Preserving Attribute-based Matchmaking


Authors : Solomon SARPONG

Volume/Issue : Volume 9 - 2024, Issue 1 - January

Google Scholar : http://tinyurl.com/ykrxaeub

Scribd : http://tinyurl.com/3ccjws32

DOI : https://doi.org/10.5281/zenodo.10623580

Abstract : Naturally, friendships are formed between persons with common interests. Since the Internet became ubiquitous and the proliferation of social media platforms, friendship has progressed from being entirely physical to virtual. The bane of social media platforms has been the issue of privacy and security of users’ information. Most of the existing schemes where users either broadcast their information or send attributes to a central server so as to find the best match pair has got some privacy issues. In these platforms, users’ sensitive personal information can easily be compromised. Also, attacks from semi-honest or malicious adversaries are difficult to prevent. In order to prevent malicious attacks, this paper proposes protocols based on privacy-preserving scalar product computation and authenticated Diffie-Hellman protocol. The use of this platform can help users find a perfect match without compromising their information.

Keywords : Proliferation, Ubiquitous, Privacy Preservation, Minimum Threshold, Scalar Product Computation

Naturally, friendships are formed between persons with common interests. Since the Internet became ubiquitous and the proliferation of social media platforms, friendship has progressed from being entirely physical to virtual. The bane of social media platforms has been the issue of privacy and security of users’ information. Most of the existing schemes where users either broadcast their information or send attributes to a central server so as to find the best match pair has got some privacy issues. In these platforms, users’ sensitive personal information can easily be compromised. Also, attacks from semi-honest or malicious adversaries are difficult to prevent. In order to prevent malicious attacks, this paper proposes protocols based on privacy-preserving scalar product computation and authenticated Diffie-Hellman protocol. The use of this platform can help users find a perfect match without compromising their information.

Keywords : Proliferation, Ubiquitous, Privacy Preservation, Minimum Threshold, Scalar Product Computation

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