基于区块链保护隐私的社交网络传播者识别方法

By combining blockchain with a secure multi-party computation protocol and utilizing the Lifted ElGamal threshold decryption system, the privacy protection issue in identifying disseminators in social networks is solved, enabling accurate identification of influential nodes without leaking user data.

CN117540416BActive Publication Date: 2026-07-17SHAANXI NORMAL UNIV

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHAANXI NORMAL UNIV
Filing Date
2023-11-10
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies cannot effectively protect user privacy when identifying influential disseminators in social networks, especially when network information is distributed and some views contain private information. Traditional algorithms require a complete network graph and are therefore unsuitable.

Method used

By employing blockchain technology combined with a decentralized secure multi-party computation protocol, the disseminator can be identified without knowledge of the overall structure of the social network through encryption and decryption methods, and the Lifted ElGamal threshold decryption system is used for data protection.

Benefits of technology

It enables the accurate identification of influential disseminators in social networks, prevents collusive attacks, and ensures the security of raw data while protecting user privacy.

✦ Generated by Eureka AI based on patent content.

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Abstract

本案涉及社交网络隐私保护技术领域,尤其涉及一种基于区块链保护隐私的社交网络传播者识别方法,用于解决现有识别有影响力传播者算法因所需网络图为完全已知而无法保护隐私的问题。本方案中加密和解密采用安全多方计算方法,每个普通节点基于部分图数据加密,将获取的对应部分图数据的密文发布至区块链;智能合约基于所有普通节点发布的部分图数据的密文,获取关于社交网络的邻接矩阵,并基于邻接矩阵计算各个普通节点的度中心性密文;普通节点和管理节点共同解密度中心性密文,从而获得每个普通节点的度中心性作为影响力。
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