A Privacy-preserving Community-based P2P OSNs Using Broadcast Encryption Supporting Recommendation Mechanism
Ruihui Zhao, Mingjie Ding, Keiichi Koyanagi, Yuanliang Sun, Liang Zhou

TL;DR
This paper introduces a novel privacy-preserving P2P social network scheme that integrates broadcast encryption and recommendation mechanisms, ensuring cross-platform availability and security while reducing system overhead.
Contribution
It is the first to combine recommendation mechanisms with privacy-preserving P2P OSNs using broadcast encryption and reputation, enhancing security and efficiency.
Findings
Security analysis confirms robustness of the scheme.
Performance evaluation shows reduced system overhead.
Cross-platform availability is effectively supported.
Abstract
Online Social Networks (OSNs) have become one of the most important activities on the Internet, such as Facebook and Google+. However, security and privacy have become major concerns in existing C/S based OSNs. In this paper, we propose a novel scheme called a Privacy-preserving Community-based P2P OSNs Using Broadcast Encryption Supporting Recommendation Mechanism (PCBE) that supports cross-platform availability in stringent privacy requirements. For the first time, we introduce recommendation mechanism into a privacy-preserving P2P based OSNs, in which we firstly employ the Open Directory Project to generate user interest model. We firstly introduce broadcast encryption into P2P community-based social networks together with reputation mechanism to decrease the system overhead. We formulate the security requirements and design goals for privacy- preserving P2P based OSNs supporting…
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Taxonomy
TopicsCaching and Content Delivery · Peer-to-Peer Network Technologies · Recommender Systems and Techniques
