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Title: HE-SNA an efficient cross-platform network alignment scheme from privacy-aware perspective
Authors: Li, Zhou
Xiao-Jing, Ma
Dong-Hui, Pan
Issue Date: 2023
Publisher: Springer
Abstract: User alignment across online social network platforms (OSNPs) is a growing concern with the rapid development of internet technology. In reality, users tend to register different accounts on multiple OSNPs, and the network platforms are reluctant to share network structure and user’s information due to business interest and privacy protection, which brings great obstacles to cross-platform user alignment. In view of this, we propose a homomorphic encryption-based social network alignment (HE-SNA) algorithm from the perspective of privacy leakage. Specifically, we first consider the OSNPs as a system containing multiple social networks, that each participant of OSNPs owns part of the network, i.e., a separate private sub-network.
Description: CC BY
URI: https://link.springer.com/article/10.1007/s40747-023-01052-0
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8064
Appears in CollectionsOER - Kỹ thuật điện; Điện tử - Viễn thông
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