Method and system for privacy-preserving social media advertising

Abstract

A method for operating an aggregator in an electronic commerce system includes receiving ciphertexts and signatures transmitted from multiple clients, each ciphertext encrypting noisy plaintext data of a category of information for a user that purchased a product, generating sums of the ciphertexts and the signatures, verifying the sum of the ciphertexts with a homomorphic signature system based on the sum of the signatures and homomorphic verification data, decrypting the sum of the ciphertexts in a private stream aggregation (PSA) process based on homomorphic decryption data to generate a sum of noisy plaintext data in response to a success of the verification, and identifying aggregate statistical information transmitted from the clients based on the sum of noisy plaintext data while preserving differential privacy of the clients.

Description

[0001] priority claim [0002] This application claims the benefit of U.S. Provisional Application No. 62 / 529,232, entitled "Architecture for Privacy-Preserving Social Media Advertising," and filed July 6, 2017, the entire contents of which are hereby expressly incorporated by reference incorporated into this article. [0003] cross reference [0004] This application is cross-referenced to co-pending U.S. Application No. 15 / 979,761, entitled "Post-Quantum Secure Private Stream Aggregation," and filed May 15, 2018, the entire contents of which are hereby incorporated by reference is expressly incorporated herein. technical field [0005] The present disclosure relates generally to the field of information security, and more particularly to systems and methods that generate aggregated data collected from multiple client computing devices while protecting the privacy of the client computing devices and Enables verification of the accuracy of aggregated data. Background tech...

AI Technical Summary

Problems solved by technology

Finally, the seller S Influencers must be trusted I will inadvertently misuse users U personal data or inadvertently disclose personal data to a malicious third party, as such a breach would have a negative impact on the seller

[0010] As mentioned above, in the prior art system 800, the user U Sellers must be trusted not only S , and must also trust the influencer, often unconsciously I

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