A survey of blockchain-based solutions for secure social networks

IF 3.7 Q2 MULTIDISCIPLINARY SCIENCES
Scientific African Pub Date : 2026-03-01 Epub Date: 2026-02-03 DOI:10.1016/j.sciaf.2026.e03233
Fatima Anter , Fatna El Mendili , Nabil Benamar , Nabil Mrani , Mohammed Fattah
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引用次数: 0

Abstract

Online social networks have become essential platforms for communication and information sharing, yet their centralized architectures expose users to serious privacy, security, and integrity risks. Blockchain technology has emerged as a promising paradigm for addressing these challenges by enabling decentralization, transparency, immutability, and user-centric control over data. This survey aims to systematically examine blockchain-based solutions designed to enhance security and privacy in social networks. Following the PRISMA methodology, we review and analyze peer-reviewed studies published between 2016 and 2025, focusing on blockchain architectures, consensus mechanisms, smart contracts, and their integration with machine learning and deep learning techniques for malicious behavior detection. The survey categorizes existing blockchain-based social networks, compares centralized and decentralized models, and evaluates key trade-offs such as scalability versus security and privacy versus transparency. Additionally, regulatory and governance implications are discussed. The findings indicate that blockchain can significantly improve privacy, security, data integrity, and user empowerment in social networks; however, challenges related to scalability, usability, interoperability, and legal compliance remain. This survey provides a comprehensive overview for researchers and practitioners and identifies open research directions for the secure evolution of social networks.
基于区块链的安全社交网络解决方案调查
在线社交网络已经成为交流和信息共享的重要平台,但其集中式架构使用户面临严重的隐私、安全和完整性风险。区块链技术已经成为解决这些挑战的一个很有前途的范例,它支持对数据的去中心化、透明性、不变性和以用户为中心的控制。本调查旨在系统地研究基于区块链的解决方案,旨在增强社交网络的安全性和隐私性。遵循PRISMA方法,我们回顾和分析了2016年至2025年间发表的同行评议研究,重点关注区块链架构、共识机制、智能合约,以及它们与机器学习和深度学习技术的集成,用于恶意行为检测。该调查对现有的基于区块链的社交网络进行了分类,比较了集中式和分散式模型,并评估了可扩展性与安全性、隐私性与透明度等关键权衡。此外,还讨论了法规和治理含义。研究结果表明,区块链可以显著改善社交网络中的隐私、安全、数据完整性和用户授权;然而,与可伸缩性、可用性、互操作性和法律遵从性相关的挑战仍然存在。本调查为研究人员和实践者提供了一个全面的概述,并确定了社交网络安全发展的开放研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Scientific African
Scientific African Multidisciplinary-Multidisciplinary
CiteScore
5.60
自引率
3.40%
发文量
332
审稿时长
10 weeks
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